7,814 Image Analysis jobs in the United States
Research Associate I - Medical Image Analysis and AI
77007 Houston, Texas
Houston Methodist
Posted 3 days ago
Job Viewed
Job Description
_Department of Oral & Maxillofacial Surgery, Houston Methodist Research Institute_
The Surgical Planning Laboratory (SPL) at Houston Methodist Research Institute is seeking a highly motivated and qualified candidate for a **Research Associate I** position. This role requires expertise in one or more of the following areas: medical image analysis, computer vision, computational geometry, or artificial intelligence (AI), including deep learning.
SPL is a clinically oriented computer science laboratory focused on the development of advanced tools for surgical planning. Our work involves medical image segmentation, 3D model generation, surgical simulation, and predictive modeling of surgical outcomes. While we explore a wide range of computational challenges, our primary emphasis is on craniomaxillofacial surgery, where we have been pioneering computer-aided surgical simulation for nearly two decades. We are also leaders in integrating AI into clinical practice.
**Key Responsibilities:**
+ Conduct and lead independent research in medical image analysis, computer vision, computational geometry, or AI.
+ Design and implement advanced algorithms for segmentation, 3D modeling, and surgical simulation.
+ Collaborate closely with surgeons and clinical teams to develop and refine surgical planning tools.
+ Publish high-impact research in peer-reviewed journals and present findings at major conferences.
+ Supervise junior researchers and contribute to lab operations, project planning, and grant development.
**Qualifications:**
+ Ph.D. in Computer Science, Biomedical Engineering, or a related field, with substantial postdoctoral research experience.
+ Demonstrated expertise in at least one of the following: medical image analysis, computer vision, computational geometry, or AI (including deep learning).
+ Proven research track record with publications in recognized journals or conferences.
+ Strong programming skills and proficiency with relevant software tools and libraries (e.g., Python, C++, MATLAB, TensorFlow, PyTorch, ITK/VTK).
+ Excellent communication skills and the ability to work in a multidisciplinary, collaborative environment.
To learn more about our lab, please visit: ESSENTIAL FUNCTIONS**
+ Assigns and reviews the work and outcomes for projects completed by assistants.
+ Contributes to a positive work environment and contributes to a dynamic, team-focused work unit that actively helps one other to achieve optimal department results. Collaborates with all members of the research team by actively communicating and reporting pertinent information as it relates to an assigned system(s) in a comprehensive manner.
+ Provides contributions towards the improvement of department scores for turnover/retention/employee engagement.
**SERVICE ESSENTIAL FUNCTIONS**
+ Analyzes data for research grants and publications. Prepares scientific presentations for department meetings.
+ Completes/performs research experiments and incorporates novel procedures and methods into research experiments as appropriate (low to medium complexity).
+ Maintains accurate records of all research and data collection.
**QUALITY/SAFETY ESSENTIAL FUNCTIONS**
+ Establishes and maintains quality control of project operations.
+ Writes and maintains regulatory and safety committee applications/protocols.
+ Identifies opportunities for corrective action and process improvement providing recommendations and contributes to meeting departmental and hospital targets for quality and safety.
**FINANCE ESSENTIAL FUNCTIONS**
+ Uses resources efficiently; does not waste supplies. Self-motivated to independently manage time effectively and prioritize daily tasks, minimizing incidental overtime.
+ Assists with ensuring orders are on appropriate grants.
**GROWTH/INNOVATION ESSENTIAL FUNCTIONS**
+ Participates in grant writing.
+ Determines specific research project goals and objectives to be attained. Assumes responsibility and oversight for those goals and objectives.
+ Seeks opportunities to identify developmental needs of self and takes appropriate action. Ensures own career discussions occur with appropriate management. Completes and updates the individual development plan (IDP) on an ongoing basis.
This job description is not intended to be all-inclusive; the employee will also perform other reasonably related business/job duties as assigned. Houston Methodist reserves the right to revise job duties and responsibilities as the need arises.
**EDUCATION**
+ Master's degree in related field or terminal degree with two years post-doctoral experience
**WORK EXPERIENCE**
+ Five years experience, depending on education level
**LICENSES AND CERTIFICATIONS - REQUIRED**
+ N/A
**KNOWLEDGE, SKILLS, AND ABILITIES**
+ Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through ongoing skills, competency assessments, and performance evaluations
+ Sufficient proficiency in speaking, reading and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
+ Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus, and application of positive language principles
+ Ability to work independently
+ Capable of handling challenging/difficult situations
+ Demonstrates sound judgment and executes analytical skills
**SUPPLEMENTAL REQUIREMENTS**
**WORK ATTIRE**
+ Uniform No
+ Scrubs Yes
+ Business professional Yes
+ Other (department approved) No
**ON-CALL***
_*Note that employees may be required to be on-call during emergencies (ie. DIsaster, Severe Weather Events, etc) regardless of selection below._
+ On Call* No
**TRAVEL***
_**Travel specifications may vary by department**_
+ May require travel within the Houston Metropolitan area No
+ May require travel outside Houston Metropolitan area No
**Company Profile:**
Houston Methodist Academic Institute oversees the Education Institute and Research Institute, including 772 faculty and 56,250 learners. The Academic Institute aligns our research and education initiatives in service to the clinical mission, providing solutions that answer the call for new technologies and skills our clinicians need for patient care.
Houston Methodist Education Institute coordinates our primary academic affiliation with Weill Cornell Medicine and other joint programs, including the Engineering Medicine Program at Texas A&M University Intercollegiate School of Engineering Medicine. The Education Institute also oversees continuing medical education and graduate medical education, and supports more than 1,000 trainees in residence for medical, nursing, allied health and research education programs.
Houston Methodist Research Institute supports research programs and infrastructure that enable faculty across the system to bring new scientific discoveries to patients as rapidly as possible through the full cycle of a cure from conceptual bench research, to prototyping and development, to clinical trials and FDA approval. The Research Institute supports more than 1,387 clinical research protocols and $70.3 million in extramurally funded translational research programs.
Houston Methodist is an Equal Opportunity Employer.
The Surgical Planning Laboratory (SPL) at Houston Methodist Research Institute is seeking a highly motivated and qualified candidate for a **Research Associate I** position. This role requires expertise in one or more of the following areas: medical image analysis, computer vision, computational geometry, or artificial intelligence (AI), including deep learning.
SPL is a clinically oriented computer science laboratory focused on the development of advanced tools for surgical planning. Our work involves medical image segmentation, 3D model generation, surgical simulation, and predictive modeling of surgical outcomes. While we explore a wide range of computational challenges, our primary emphasis is on craniomaxillofacial surgery, where we have been pioneering computer-aided surgical simulation for nearly two decades. We are also leaders in integrating AI into clinical practice.
**Key Responsibilities:**
+ Conduct and lead independent research in medical image analysis, computer vision, computational geometry, or AI.
+ Design and implement advanced algorithms for segmentation, 3D modeling, and surgical simulation.
+ Collaborate closely with surgeons and clinical teams to develop and refine surgical planning tools.
+ Publish high-impact research in peer-reviewed journals and present findings at major conferences.
+ Supervise junior researchers and contribute to lab operations, project planning, and grant development.
**Qualifications:**
+ Ph.D. in Computer Science, Biomedical Engineering, or a related field, with substantial postdoctoral research experience.
+ Demonstrated expertise in at least one of the following: medical image analysis, computer vision, computational geometry, or AI (including deep learning).
+ Proven research track record with publications in recognized journals or conferences.
+ Strong programming skills and proficiency with relevant software tools and libraries (e.g., Python, C++, MATLAB, TensorFlow, PyTorch, ITK/VTK).
+ Excellent communication skills and the ability to work in a multidisciplinary, collaborative environment.
To learn more about our lab, please visit: ESSENTIAL FUNCTIONS**
+ Assigns and reviews the work and outcomes for projects completed by assistants.
+ Contributes to a positive work environment and contributes to a dynamic, team-focused work unit that actively helps one other to achieve optimal department results. Collaborates with all members of the research team by actively communicating and reporting pertinent information as it relates to an assigned system(s) in a comprehensive manner.
+ Provides contributions towards the improvement of department scores for turnover/retention/employee engagement.
**SERVICE ESSENTIAL FUNCTIONS**
+ Analyzes data for research grants and publications. Prepares scientific presentations for department meetings.
+ Completes/performs research experiments and incorporates novel procedures and methods into research experiments as appropriate (low to medium complexity).
+ Maintains accurate records of all research and data collection.
**QUALITY/SAFETY ESSENTIAL FUNCTIONS**
+ Establishes and maintains quality control of project operations.
+ Writes and maintains regulatory and safety committee applications/protocols.
+ Identifies opportunities for corrective action and process improvement providing recommendations and contributes to meeting departmental and hospital targets for quality and safety.
**FINANCE ESSENTIAL FUNCTIONS**
+ Uses resources efficiently; does not waste supplies. Self-motivated to independently manage time effectively and prioritize daily tasks, minimizing incidental overtime.
+ Assists with ensuring orders are on appropriate grants.
**GROWTH/INNOVATION ESSENTIAL FUNCTIONS**
+ Participates in grant writing.
+ Determines specific research project goals and objectives to be attained. Assumes responsibility and oversight for those goals and objectives.
+ Seeks opportunities to identify developmental needs of self and takes appropriate action. Ensures own career discussions occur with appropriate management. Completes and updates the individual development plan (IDP) on an ongoing basis.
This job description is not intended to be all-inclusive; the employee will also perform other reasonably related business/job duties as assigned. Houston Methodist reserves the right to revise job duties and responsibilities as the need arises.
**EDUCATION**
+ Master's degree in related field or terminal degree with two years post-doctoral experience
**WORK EXPERIENCE**
+ Five years experience, depending on education level
**LICENSES AND CERTIFICATIONS - REQUIRED**
+ N/A
**KNOWLEDGE, SKILLS, AND ABILITIES**
+ Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through ongoing skills, competency assessments, and performance evaluations
+ Sufficient proficiency in speaking, reading and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
+ Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus, and application of positive language principles
+ Ability to work independently
+ Capable of handling challenging/difficult situations
+ Demonstrates sound judgment and executes analytical skills
**SUPPLEMENTAL REQUIREMENTS**
**WORK ATTIRE**
+ Uniform No
+ Scrubs Yes
+ Business professional Yes
+ Other (department approved) No
**ON-CALL***
_*Note that employees may be required to be on-call during emergencies (ie. DIsaster, Severe Weather Events, etc) regardless of selection below._
+ On Call* No
**TRAVEL***
_**Travel specifications may vary by department**_
+ May require travel within the Houston Metropolitan area No
+ May require travel outside Houston Metropolitan area No
**Company Profile:**
Houston Methodist Academic Institute oversees the Education Institute and Research Institute, including 772 faculty and 56,250 learners. The Academic Institute aligns our research and education initiatives in service to the clinical mission, providing solutions that answer the call for new technologies and skills our clinicians need for patient care.
Houston Methodist Education Institute coordinates our primary academic affiliation with Weill Cornell Medicine and other joint programs, including the Engineering Medicine Program at Texas A&M University Intercollegiate School of Engineering Medicine. The Education Institute also oversees continuing medical education and graduate medical education, and supports more than 1,000 trainees in residence for medical, nursing, allied health and research education programs.
Houston Methodist Research Institute supports research programs and infrastructure that enable faculty across the system to bring new scientific discoveries to patients as rapidly as possible through the full cycle of a cure from conceptual bench research, to prototyping and development, to clinical trials and FDA approval. The Research Institute supports more than 1,387 clinical research protocols and $70.3 million in extramurally funded translational research programs.
Houston Methodist is an Equal Opportunity Employer.
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Assistant/Associate/Professor in AI for Image Analysis and Computer Vision
84101 Salt Lake City, Utah
University of Utah
Posted 7 days ago
Job Viewed
Job Description
Bookmark this Posting Print Preview | Apply for this Job
Posting Details
The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.
Position Information
Proposed Faculty Rank Assistant/Associate/Professor Department 00062 - School of Computing City Salt Lake City, UT Track Tenure Track New Position to Begin January 1, 2026 Details
Kahlert School of Computing and Scientific Computing & Imaging Institute
University of Utah
The Kahlert School of Computing of the Price College of Engineering (Kahlert School) and the Scientific Computing and Imaging Institute (SCI) at the University of Utah seek applications for an open-rank (Assistant, Associate, or Full Professor) tenure-track or tenured faculty position in the broad area of Artificial Intelligence (AI) with a focus on Image Analysis and Computer Vision.
Position Overview
This position is part of a strategic expansion in artificial intelligence (AI), image analysis, and data science at the Kahlert School and the SCI Institute at the University of Utah. Both the Kahlert School and the SCI Institute are expanding their research strengths, with multiple new faculty hires at the intersection of computational science, data science, and science and engineering broadly. These hires will enhance the SCI Institute's internationally recognized expertise in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing and computational science. Kahlert School is a highly collaborative and collegial community that values and supports faculty engaged in cross-area and interdisciplinary research, providing a dynamic environment for AI-driven discovery.
The successful candidate will have the opportunity to lead collaborative AI-driven research that spans foundational and applied computing, leveraging the strengths of Kahlert School and the SCI Institute. Their work will bridge core computing disciplines-such as computer vision, large-scale AI systems, and machine learning-with cutting-edge, high-impact applications in scientific discovery, biomedical computing, computational medicine, and data-driven modeling. A major goal of this strategic expansion is to foster interdisciplinary partnerships across the University and with external collaborators, advancing AI-driven breakthroughs that transform computing, real-world imaging applications, and scientific and biomedical discovery.
What We Seek
We seek an accomplished and visionary researcher at the forefront of artificial intelligence (AI)-driven image analysis, computer vision, and computational imaging. The ideal candidate will have a strong track record of developing foundational AI methodologies and translating them into innovative applications in image-centric data analysis, AI-driven computational discovery, and interdisciplinary problem-solving across scientific and biomedical domains. Successful candidates are expected to have an established research program, a history of extramural funding, and a strong publication record in high-impact venues, demonstrating their leadership in AI-driven imaging research. Their work should contribute to novel AI-driven approaches for extracting, interpreting, reconstructing, and enhancing visual information, fostering interdisciplinary collaborations and expanding the impact of AI in scientific computing and real-world problem-solving.
We are looking for candidates conducting high-impact, innovative research at the intersection of AI and imaging sciences. Areas of interest include, but are not limited to, foundational and applied advances in machine learning for image analysis, multimodal AI integrating imaging with other data modalities, physics-aware and hybrid modeling for imaging applications, scalable AI for high-dimensional visual data, trustworthy AI for image-based decision-making, and generative models for image understanding, reconstruction, and synthesis.
How to Apply
A PhD in computer science or a related field is required. Candidates are requested to submit (1) a curriculum vitae, (2) a cover letter (1-2 pages) describing their professional experience, including scientific accomplishments and leadership responsibilities, (3) a research statement (3-4 pages), (4) a teaching statement (1-2 pages), and (5) three references.
In their research statement, candidates should describe their vision for AI-driven image-centric computational research, including both foundational and applied aspects, and how their work aligns with and enhances the strengths of both the Kahlert School and the SCI Institute. Candidates are encouraged to discuss how their work fosters new collaborations within and beyond the University of Utah.
The teaching statement should highlight their approach to instruction and mentorship, including strategies for engaging a diverse student body in computing and interdisciplinary research. Additionally, candidates should discuss their commitment to fostering a welcoming academic environment, including past or planned efforts to broaden participation in computing and scientific research.
Applicants are encouraged to explore the SCI Institute's mission of multidisciplinary bridge-building ( and Kahlert School's initiatives in AI, computing research, and education to better understand how their expertise will integrate into the broader research community at the University of Utah.
All submissions will be treated with strict confidentiality. Review of complete applications will begin on Sept 1st, 2025 and will continue until the position is filled.
For additional questions, please contact Shireen Elhabian ( ), Search Committee Chair.
About the Kahlert School of Computing
The Kahlert School is an exciting, growing school with more than a 50-year history of excellence in computer science education, innovation, and research. As the computing landscape evolves, the Kahlert School supports continuous curriculum enhancement among its faculty. The current faculty of 70 is comprised of 56 tenure-track, 2 research, and 12 lecturing faculty. Additional information about the School and current faculty can be found at University of Utah's Kahlert School is committed to recruiting, welcoming, and supporting a broad community of undergraduate and graduate students, postdoctoral candidates, research scientists, staff, and faculty. To demonstrate this commitment, we have created the Utah Center for Broadening Participation in Computing to welcome students from all backgrounds in the undergraduate majors (see To build a representative faculty, we strongly encourage applications from populations underrepresented in computing, as well as candidates with nontraditional backgrounds. The Kahlert School is also committed to addressing lifestyle priorities and will work with candidates to develop opportunities for partners and family members.
About the SCI Institute
Over more than three decades, the SCI Institute has established itself as an internationally recognized leader in translational innovations across computational and data science with leading research and training programs in the areas of visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and become innovators with companies such as Microsoft, Meta, Apple, Exxon Mobil, Nvidia, Google, Intel, Adobe, Boston Scientific, Orthogrid, Philips Medical, Kitware, and Medtronic. Additional information about the Institute and current faculty can be found at SCI Institute is a trans-college, research-focused partnering entity at the University of Utah consisting of faculty from 4 academic units in 2 colleges along with students, and staff (185 current personnel). The SCI Institute's vision is to see applied computing bring transformation across disciplines in a way that benefits the University of Utah and society at large. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools.
About the University of Utah
The University of Utah is a Carnegie Research I Institution. Located in metropolitan Salt Lake City in the foothills of the Wasatch Mountains, the University of Utah is the state's flagship research institution and emphasizes exceptional scholarship, quality teaching, and professional service. The university serves over 32,000 students from across the U.S. and the world with over 72 major subjects at the undergraduate level and more than 90 major fields of study at the graduate level, including law and medicine. Known for its proximity to seven world-class ski resorts within 40 minutes of campus, the University of Utah encourages an active, holistic lifestyle, innovation, and collaborative thinking to engage students, faculty and business leaders. The University of Utah provides a generous benefits package with a variety of medical and dental plans from which to choose. Other important benefits include retirement, tuition reduction, a wellness program, and an Employee Assistance Program.
Salt Lake City is a vibrant, major metropolitan area with a diverse, multicultural population and numerous cultural and outdoor activities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the Nation's fastest-growing technology sectors and the University of Utah is acclaimed for its successes in technology-driven start-ups. The University has invested significantly in the SCI Institute and substantial further investments are now enabling these recruitments.
Salt Lake City is home to a robust array of diverse communities facilitating numerous opportunities for interaction with a range of civic and political organizations, given the city's role as the governmental and social nerve center of the state. Utah public schools serve a diverse student body (statewide average: eight percent ELs and twenty-six percent non-white), notably higher in its urban districts. Utah is also home to the first state-legislated and funded K-16 dual language education model in the country.
EEO/Non-Discrimination Information
All qualified individuals are strongly encouraged to apply. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at:
reports may be submitted at oeo.utah.edu
Notice
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at ( for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at ( or ( or University Human Resource Management at ( if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
Special Instructions for Candidates Open Date 04/28/2025 Close Date 01/31/2026 Open Until Filled No Requisition Number PRN01357CF Type Faculty
Posting Specific Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
Required Documents
* Cover Letter
* Curriculum Vitae
* Teaching Statement
* Research Statement
Optional Documents
* Historical Only - Do Not Use - See Description for More Information - Appropriate discharge document (such as DD-2214) - Veteran Only
* Historical Only - Do Not Use - See Document Description for More Information - Addendum to the University of Utah - Veteran Only
Posting Details
The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.
Position Information
Proposed Faculty Rank Assistant/Associate/Professor Department 00062 - School of Computing City Salt Lake City, UT Track Tenure Track New Position to Begin January 1, 2026 Details
Kahlert School of Computing and Scientific Computing & Imaging Institute
University of Utah
The Kahlert School of Computing of the Price College of Engineering (Kahlert School) and the Scientific Computing and Imaging Institute (SCI) at the University of Utah seek applications for an open-rank (Assistant, Associate, or Full Professor) tenure-track or tenured faculty position in the broad area of Artificial Intelligence (AI) with a focus on Image Analysis and Computer Vision.
Position Overview
This position is part of a strategic expansion in artificial intelligence (AI), image analysis, and data science at the Kahlert School and the SCI Institute at the University of Utah. Both the Kahlert School and the SCI Institute are expanding their research strengths, with multiple new faculty hires at the intersection of computational science, data science, and science and engineering broadly. These hires will enhance the SCI Institute's internationally recognized expertise in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing and computational science. Kahlert School is a highly collaborative and collegial community that values and supports faculty engaged in cross-area and interdisciplinary research, providing a dynamic environment for AI-driven discovery.
The successful candidate will have the opportunity to lead collaborative AI-driven research that spans foundational and applied computing, leveraging the strengths of Kahlert School and the SCI Institute. Their work will bridge core computing disciplines-such as computer vision, large-scale AI systems, and machine learning-with cutting-edge, high-impact applications in scientific discovery, biomedical computing, computational medicine, and data-driven modeling. A major goal of this strategic expansion is to foster interdisciplinary partnerships across the University and with external collaborators, advancing AI-driven breakthroughs that transform computing, real-world imaging applications, and scientific and biomedical discovery.
What We Seek
We seek an accomplished and visionary researcher at the forefront of artificial intelligence (AI)-driven image analysis, computer vision, and computational imaging. The ideal candidate will have a strong track record of developing foundational AI methodologies and translating them into innovative applications in image-centric data analysis, AI-driven computational discovery, and interdisciplinary problem-solving across scientific and biomedical domains. Successful candidates are expected to have an established research program, a history of extramural funding, and a strong publication record in high-impact venues, demonstrating their leadership in AI-driven imaging research. Their work should contribute to novel AI-driven approaches for extracting, interpreting, reconstructing, and enhancing visual information, fostering interdisciplinary collaborations and expanding the impact of AI in scientific computing and real-world problem-solving.
We are looking for candidates conducting high-impact, innovative research at the intersection of AI and imaging sciences. Areas of interest include, but are not limited to, foundational and applied advances in machine learning for image analysis, multimodal AI integrating imaging with other data modalities, physics-aware and hybrid modeling for imaging applications, scalable AI for high-dimensional visual data, trustworthy AI for image-based decision-making, and generative models for image understanding, reconstruction, and synthesis.
How to Apply
A PhD in computer science or a related field is required. Candidates are requested to submit (1) a curriculum vitae, (2) a cover letter (1-2 pages) describing their professional experience, including scientific accomplishments and leadership responsibilities, (3) a research statement (3-4 pages), (4) a teaching statement (1-2 pages), and (5) three references.
In their research statement, candidates should describe their vision for AI-driven image-centric computational research, including both foundational and applied aspects, and how their work aligns with and enhances the strengths of both the Kahlert School and the SCI Institute. Candidates are encouraged to discuss how their work fosters new collaborations within and beyond the University of Utah.
The teaching statement should highlight their approach to instruction and mentorship, including strategies for engaging a diverse student body in computing and interdisciplinary research. Additionally, candidates should discuss their commitment to fostering a welcoming academic environment, including past or planned efforts to broaden participation in computing and scientific research.
Applicants are encouraged to explore the SCI Institute's mission of multidisciplinary bridge-building ( and Kahlert School's initiatives in AI, computing research, and education to better understand how their expertise will integrate into the broader research community at the University of Utah.
All submissions will be treated with strict confidentiality. Review of complete applications will begin on Sept 1st, 2025 and will continue until the position is filled.
For additional questions, please contact Shireen Elhabian ( ), Search Committee Chair.
About the Kahlert School of Computing
The Kahlert School is an exciting, growing school with more than a 50-year history of excellence in computer science education, innovation, and research. As the computing landscape evolves, the Kahlert School supports continuous curriculum enhancement among its faculty. The current faculty of 70 is comprised of 56 tenure-track, 2 research, and 12 lecturing faculty. Additional information about the School and current faculty can be found at University of Utah's Kahlert School is committed to recruiting, welcoming, and supporting a broad community of undergraduate and graduate students, postdoctoral candidates, research scientists, staff, and faculty. To demonstrate this commitment, we have created the Utah Center for Broadening Participation in Computing to welcome students from all backgrounds in the undergraduate majors (see To build a representative faculty, we strongly encourage applications from populations underrepresented in computing, as well as candidates with nontraditional backgrounds. The Kahlert School is also committed to addressing lifestyle priorities and will work with candidates to develop opportunities for partners and family members.
About the SCI Institute
Over more than three decades, the SCI Institute has established itself as an internationally recognized leader in translational innovations across computational and data science with leading research and training programs in the areas of visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and become innovators with companies such as Microsoft, Meta, Apple, Exxon Mobil, Nvidia, Google, Intel, Adobe, Boston Scientific, Orthogrid, Philips Medical, Kitware, and Medtronic. Additional information about the Institute and current faculty can be found at SCI Institute is a trans-college, research-focused partnering entity at the University of Utah consisting of faculty from 4 academic units in 2 colleges along with students, and staff (185 current personnel). The SCI Institute's vision is to see applied computing bring transformation across disciplines in a way that benefits the University of Utah and society at large. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools.
About the University of Utah
The University of Utah is a Carnegie Research I Institution. Located in metropolitan Salt Lake City in the foothills of the Wasatch Mountains, the University of Utah is the state's flagship research institution and emphasizes exceptional scholarship, quality teaching, and professional service. The university serves over 32,000 students from across the U.S. and the world with over 72 major subjects at the undergraduate level and more than 90 major fields of study at the graduate level, including law and medicine. Known for its proximity to seven world-class ski resorts within 40 minutes of campus, the University of Utah encourages an active, holistic lifestyle, innovation, and collaborative thinking to engage students, faculty and business leaders. The University of Utah provides a generous benefits package with a variety of medical and dental plans from which to choose. Other important benefits include retirement, tuition reduction, a wellness program, and an Employee Assistance Program.
Salt Lake City is a vibrant, major metropolitan area with a diverse, multicultural population and numerous cultural and outdoor activities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the Nation's fastest-growing technology sectors and the University of Utah is acclaimed for its successes in technology-driven start-ups. The University has invested significantly in the SCI Institute and substantial further investments are now enabling these recruitments.
Salt Lake City is home to a robust array of diverse communities facilitating numerous opportunities for interaction with a range of civic and political organizations, given the city's role as the governmental and social nerve center of the state. Utah public schools serve a diverse student body (statewide average: eight percent ELs and twenty-six percent non-white), notably higher in its urban districts. Utah is also home to the first state-legislated and funded K-16 dual language education model in the country.
EEO/Non-Discrimination Information
All qualified individuals are strongly encouraged to apply. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at:
reports may be submitted at oeo.utah.edu
Notice
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at ( for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at ( or ( or University Human Resource Management at ( if you have questions regarding the post-retirement rules.
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Special Instructions for Candidates Open Date 04/28/2025 Close Date 01/31/2026 Open Until Filled No Requisition Number PRN01357CF Type Faculty
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1
Machine Learning
95014 Monte Vista, California
Syntricate Technologies
Posted 14 days ago
Job Viewed
Job Description
Position- Machine Learning
Duration-Contract
Location- Cupertino, C
JD
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
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Duration-Contract
Location- Cupertino, C
JD
- 12+ years of experience in Client Engineering with experience in NLP Experience in deploying Client models
- Strong understanding of machine learning principles, especially in the context of LLMs.
- Experience building chatbots using LLM's• Managing Data pipeline/Transforms•
- Experience in Data injestion and Data Visualisation through Tableau or related tools.
- Experience with Data Robot is recommended
- Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
- 10 & Above Years
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
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2
Machine Learning
75215 Park Cities, Texas
Omni Inclusive
Posted 14 days ago
Job Viewed
Job Description
Skill: at least 3 years of experience on the following:
- Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
- Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
- Database - Snowflake, Oracle, Graph database
- Programming & Scripting - Python, R, Unix-Shell scripting, PySpark
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3
Machine Learning
95014 Monte Vista, California
Diverse Lynx
Posted 15 days ago
Job Viewed
Job Description
Role name: Developer Role Description: Bachelors degree in Computer Science, Engineering, or related field, or equivalent professional experience 12 plus years of experience in software architecture design and development with expertise in Domain Driven Design, Service Oriented Architecture, and Distributed Systemsexperience in technical leadership roles focused on platform engineering or infrastructure Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) Strong development skills building backend API services using Python (preferred) andor JavaScript Practical experience with asynchronous programming, type safety, threading models, state machines and data structuresPreferred Qualifications Familiarity with AIML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) Track record designing client-agnostic APIs using REST andor GraphQL Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc) Experience with managed cloud platforms such as AWS, GCP, Azure Excellent communication skills to collaborate with non-technical audience Competencies: Digital : Machine Learning, Digital : Kubernetes, Digital : Site Reliability Engineering (SRE)
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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4
Machine Learning Engineer (Computer Vision)
95014 Monte Vista, California
INSPYR Solutions
Posted today
Job Viewed
Job Description
ABOUT THIS FEATURED OPPORTUNITY
The Machine Learning Engineer will join the team to automate and scale the validation of device setup workflows across the channel store environments. You'll play a critical role in developing intelligent systems that can interpret images, metadata, and contextual signals to determine if the store is complying with standards through visual signals.
THE OPPORTUNITY FOR YOU
NICE TO HAVES:
Our benefits package includes:
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
The Machine Learning Engineer will join the team to automate and scale the validation of device setup workflows across the channel store environments. You'll play a critical role in developing intelligent systems that can interpret images, metadata, and contextual signals to determine if the store is complying with standards through visual signals.
THE OPPORTUNITY FOR YOU
- Design and deploy robust computer vision pipelines for real-world, production-scale use cases
- Independently design and execute experiments to validate model assumptions and improve accuracy
- Perform root cause analysis on model failures, and translate findings into concrete improvements
- Integrate Vision-Language Models (VLMs) to enable context-aware image understanding
- Prototype agent-based reasoning flows to surface insights and recommendations from visual signals
- Own and iterate on NLP + CV systems that power internal tools and customer-facing technologies
- Partner cross-functionally with backend, product, and business teams to scale your solutions worldwide
- Translate product goals into practical CV architectures and roadmap milestones
- Contribute to the future vision of AI-powered sales and operational tools
- Seeking a self-driven and accountable professional, with a track record of incorporating feedback and delivering results independently
- Solid knowledge of multimodal reasoning - not just prompting models, but systematically evaluating workflows with LLMs and VLMs together
- Experience with state-of-the-art CVML, including VLMs, multimodal LLMs, and agentic workflows
- Hands-on experience with Vision-Language Models (e.g., CLIP, BLIP, Flamingo, Gemini) with awareness of their strengths, weaknesses, and real-world limitations
- Proven ability to run experiments end-to-end: from hypothesis, to design, to execution, to iteration
- Demonstrated skill in root cause analysis for model misclassifications and system-level failures
- 3+ years building CV/ML systems professionally and successfully releasing to customers
- 3+ years + PhD/Masters or 5 years + Bachelors - strong experience in Computer Vision and Machine Learning algorithms
- Strong programming in Python , and related machine learning frameworks (PyTorch, CoreML, etc.)
NICE TO HAVES:
- Prior ML Product team experience, experience contributing to a product team
- Tech industry background
Our benefits package includes:
- Comprehensive medical benefits
- Competitive pay
- 401(k) retirement plan
- .and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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5
Machine Learning Engineer , Computer Vision
90079 Los Angeles, California
Hadrian Automation, Inc
Posted 4 days ago
Job Viewed
Job Description
Hadrian - Manufacturing the Future
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
We recently raised $260 million dollar Series C to accelerate this mission. We are excited to launch a new Factory in Mesa, Arizona, a 270,000-square-foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve the naval production sector, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond!
The Role:
Copilot is our suite of CAD/CAM automation software, responsible for automating Design for Manufacturing (DFM) analysis, CAM programming, and CMM programming. We work with some of the best operators in the world to identify high-impact areas to augment and/or automate with software. We are responsible for designing and implementing the solutions from cradle to grave. Broadly, this can be any combination of full-stack web engineering, applications engineering, computational geometry, and working with a number of engineering-centric APIs (documented and undocumented).
While this role is primarily focused on our computer vision and machine learning stack, we expect all Copilot Engineers to embrace all areas of the tech stack in order to build software that has the biggest positive impact on operators' work.
What You'll Do:
For this role, the target salary range is $20,000 - 225,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Benefits
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Hadrian Is An Equal Opportunity Employer
It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
We recently raised $260 million dollar Series C to accelerate this mission. We are excited to launch a new Factory in Mesa, Arizona, a 270,000-square-foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve the naval production sector, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond!
The Role:
Copilot is our suite of CAD/CAM automation software, responsible for automating Design for Manufacturing (DFM) analysis, CAM programming, and CMM programming. We work with some of the best operators in the world to identify high-impact areas to augment and/or automate with software. We are responsible for designing and implementing the solutions from cradle to grave. Broadly, this can be any combination of full-stack web engineering, applications engineering, computational geometry, and working with a number of engineering-centric APIs (documented and undocumented).
While this role is primarily focused on our computer vision and machine learning stack, we expect all Copilot Engineers to embrace all areas of the tech stack in order to build software that has the biggest positive impact on operators' work.
What You'll Do:
- Research, develop, and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models
- Contribute to the ongoing development and refinement of current models in close collaboration with the engineering team and end users
- Work in every facet of the ML lifecycle - including the creation and optimization of production data pipelines, software systems for training, inference, labeling, and evaluation
- Judiciously combine open-source solutions and novel research to solve problems and create world-class vision systems for manufacturing applications
- Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
- 2+ years of experience (work or relevant project/research experience) in Computer Vision and/or Machine Learning - Bonus points for experience fine-tuning foundation models or owning ML projects throughout the entire ML Lifecycle
- Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
- Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
- Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
- Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
- Prior experience with distributed training using cloud infrastructure
- Prior experience with visual document understanding and layout analysis
- Published research or achieved SOA results on an ML application
- Prior experience with multi-modal deep learning models
- You have a passion for manufacturing and believe that the industry needs better software
- Prior experience working in a startup environment
For this role, the target salary range is $20,000 - 225,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Benefits
- 100% coverage of medical, dental, vision, and life insurance plans for employees
- 401k
- Relocation stipend if you're moving from outside of LA
- Flexible vacation policy
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Hadrian Is An Equal Opportunity Employer
It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
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6
Machine Learning Engineer - Computer Vision
22201 Arlington, Virginia
CaseGuard
Posted 9 days ago
Job Viewed
Job Description
We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.
Key Responsibilities:
- Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
- Optimize and fine-tune deep learning algorithms for real-time performance.
- Work closely with the software engineers and product teams to identify opportunities for leveraging data.
- Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
- Evaluate and optimize machine learning models for accuracy, performance, and scalability.
- Deploy models into production environments and monitor their performance to ensure reliability.
- Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
- Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
- Document processes, models, and implementations to ensure reproducibility and scalability.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
- Experience with data manipulation tools such as Pandas, NumPy, and SQL.
- Strong programming skills in Python and C++.
- Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
- Proficiency in working with image and video data, including preprocessing and augmentation techniques.
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with version control systems such as Git.
- Understanding software engineering best practices, including code review, testing, and documentation.
- Experience with Large Language Models (LLMs) is a great plus.
- Experience with data annotation tools and processes.
- Competitive salary.
- Comprehensive health and wellness benefits.
- Professional development opportunities and continuous learning programs.
- Collaborative and inclusive work environment.
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7
Machine Learning/Computer Vision Engineer
94087 Sunnyvale, California
Apple
Posted 12 days ago
Job Viewed
Job Description
Machine Learning/Computer Vision Engineer
Sunnyvale, California, United States
Machine Learning and AI
Summary
Posted: Apr 04, 2025
Role Number: 200597543-3956
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
Description
We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.
Responsibilities include but not limited to:
-
Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.
-
Collaborate with others to drive requirements and validation tests to ship models.
-
Take a practical approach to problem solving and adapt to an evolving environment.
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Deliver clean, modular, testable algorithm code.
-
Communicate and work effectively with cross-functional partners.
The ideal candidate should possess the following qualities:
- Be highly-motivated and take initiative to achieve goals, while delivering on schedule.
- Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.
- Works well in a collaborative setting.
Minimum Qualifications
-
BS and a minimum of 3 years relevant industry experience
-
Software engineering skills and proficiency in Python and PyTorch.
Preferred Qualifications
-
MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
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Comprehensive understanding of diffusion models, transformers and auto-encoders.
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Capable of making well-informed and practical decisions in a rapidly evolving environment.
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Excellent communication and experience working with multi-functional teams.
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Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
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Good software engineering skills and proficiency in C/C++.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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