11,760 Machine Learning Engineer jobs in the United States

Senior Machine Learning Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in ML and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
You'll need to have:
+ Practical experience with solving Machine Learning problems and techniques
+ Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience
+ Experience with machine learning and deep learning frameworks
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
We give back to the technology community and you can read more about our outreach at:
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

We are seeking a skilled Machine Learning Engineer to join our team. In this role, you will design, develop, and deploy machine learning models that solve real-world problems and drive business value. You’ll work closely with data scientists, software engineers, and product teams to build scalable, production-ready AI solutions.

Responsibilities

• Build, train, and deploy machine learning models and algorithms.

• Collect, preprocess, and analyze large datasets for modeling.

• Develop and maintain end-to-end ML pipelines (data ingestion → model training → deployment).

• Monitor and improve model accuracy, performance, and scalability.

• Collaborate with cross-functional teams to integrate ML solutions into products.

• Research and apply the latest ML/AI techniques and tools.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred).

• Strong programming skills in Python (plus experience with libraries such as TensorFlow, PyTorch, or scikit-learn).

• Solid understanding of statistics, probability, and algorithms.

• Experience deploying models in production (cloud platforms like AWS, Azure, or GCP preferred).

• Knowledge of data engineering tools, APIs, and version control (Git).

• Excellent problem-solving skills and ability to explain ML concepts to non-technical stakeholders.

What We Offer

• Competitive pay (salary/hourly depending on experience).

• Remote and flexible work options.

• Opportunities for professional growth and certifications.

• Innovative projects in a collaborative environment.

**THE COMPANY**
**Silvus Technologies** is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever-evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide the vital communications for mission critical applications in the harshest environments from underground tunnels to high altitude balloons.
Silvus StreamCaster® radios are being rapidly adopted by customers all over the world ranging from the U.S Departments of Defense, to International, Federal, State and Local Law Enforcement agencies, all the way to the Super Bowl, Grammys and industry-leading drone, robot, and other unmanned systems manufacturers.
_Wouldn't you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "_ Keeping Our Heroes Connected ( _"?_
Silvus' rapid growth is fueled by a focus on research and innovation and a team of the most passionate, skilled, and creative thinking individuals. _If you are looking for a challenging experience, you owe it to yourself to learn how Silvus can provide a rewarding opportunity that creates a pathway to a fulfilling career._
THE OPPORTUNITY
Silvus is seeking a **_Machine Learning Engineer_** with a strong background in wireless communications to join our innovative _R&D team_ . This role will report to the _R&D Director, Machine Learning_ and will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. The successful individual in this role will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant **West Los Angeles,** **CA** and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
+ Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
+ Analyze real-world RF datasets to extract insights and develop predictive models.
+ Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
+ Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
+ Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
+ Participate in performance benchmarking and iterative improvement cycles.
+ Stay current with the latest Machine Learning research for wireless and embedded systems.
REQUIRED QUALIFICATIONS
+ M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
+ Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
+ Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
+ Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
+ Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
+ Proficiency in MATLAB or C/C++ for signal processing algorithm development.
+ Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 12 months of hire.
+ **Must be a U.S. Citizen** due to clients under U.S. government contracts.
PREFERRED KNOWLEDGE, SKILLS AND ABILITIES
+ Excellent communication and collaboration skills.
+ Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
+ Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
+ Background in adaptive modulation, beamforming, or cognitive radio techniques.
+ Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
+ Experience with GPU acceleration or model optimization for constrained environments.
WORKING CONDITIONS & PHYSICAL REQUIREMENTS
+ Office environment.
+ Outdoor environment for demos.
+ Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
+ While performing the duties of this job, the employee is required to do the following:
+ Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
+ Perform bending and reaching movements to place items on lower and higher shelves.
**COMPENSATION**
_The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications._
CA Pay Range
$120,000-$160,000 USD
**NOTE - As a U.S. Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements are needed for some Engineering or R&D roles. This generally does NOT apply to International positions; only job postings for positions located in the U.S. Exceptions will be included in the Required Qualifications section of the posted position.**
**_All Employment is contingent upon the successful clearance of a background check._**
Silvus is proud to be an equal-opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
_*Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies._

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work
ASRC Federal is looking for an experienced AI Engineer - Intermediate to support their work with the U.S. Army Contracting Command (ACC) Chief Information Officer (CIO) G6 at Redstone Arsenal, AL. The AI Engineer will work witha small, focused team of other AI Engineers and a Data Architectsupporting the development and implementation of artificial intelligence (AI) and machine learning (ML) tools across ACC. These tools will enhance decision-making, optimize workflows, improve communication, and automate key project management functions.
The engineer will work oncross-functional collaboration efforts with data scientists, cybersecurity experts, and subject matter experts. Solutions will leverageAI technologies such as Palantir Foundry, Microsoft Copilot, and other enterprise AI platforms.
**KEY RESPONSIBILITIES**
+ Work inan AI/ML team supporting enterprise-wide automation, analytics, and insight initiatives
+ Coordinate technical delivery of AI solutions aligned to mission-specific use cases
+ Design, develop, train, and optimize machine learning models for real-world application
+ Evaluate model performance and implement improvements based on user and system feedback
+ Analyze and preprocess large datasets for use in AI/ML pipelines
+ Deploy AI/ML models in secure, on-premises environments, ensuring performance and scalability
+ Collaborate with stakeholders to define project requirements and refine solutions for maximum impact
+ Use platforms such as Palantir Foundry and Microsoft Copilot to create actionable insights and automation tools
+ Draft documentation and provide guidance on AI usage to non-technical users
**REQUIRED QUALIFICATIONS**
+ Minimum of 3 years of experience working in AI/ML.
+ Experience with:
+ Microsoft Office Suite
+ AI/ML platforms such as Palantir Foundry, Microsoft Copilot, or similar enterprise tools
+ Experience using HTML, CSS, and JavaScript
+ Model development, training, optimization, and deployment
+ Preprocessing and analyzing large data sets
+ Strong communication and leadership skills, with the ability to manage and guide technical teams
+ Ability to define and document AI/ML use cases in coordination with stakeholders
**PREFERRED** **QUALIFICATIONS**
+ Experience working inAI/ML initiatives within DoD or federal government environments
+ Familiarity with Agile development and MLO pspractices
+ Exposure to Python-based ML libraries (e.g., TensorFlow, scikit-learn, PyTorch)
+ Experience integrating AI models into enterprise software systems
**CLEARANCE LEVEL**
+ Minimum active DoD Secret clearance. Candidates without a minimum of a Secret clearance will not be considered.
**EDUCATION REQUIREMENTS**
+ Bachelor's degree in information technology, Cybersecurity, Data Science, Information Systems, or Computer Science from an ABET-accredited or CAE-designated institution
**CERTIFICATION**
+ Security+ Required
**WORK ENVIRONMENT AND PHYSICAL DEMANDS:**
+ This role is 100% on-site at Redstone Arsenal, AL.
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.
**_EEO Statement_**
_ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law._
**Job Details**
**Job Family** **Information Technology**
**Job Function** **Machine Learning**
**Pay Type** **Salary**

Immigration sponsorship is not available for this position
Machine Learning Engineer
What you can expect
As a Machine Learning Engineer on our Trust and Safety Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our Trust and Safety domain. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.
About the Team
The Trust and Safety Engineering team is committed to protecting users from being abused. We are passionate about leveraging cutting-edge technology to drive significant advancements in providing a safe environment for users.
Responsibilities
+ Designing, implementing, and optimizing AI/ML algorithms, techniques and solutions to address complex business challenges.
+ Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
+ Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
+ Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
+ Staying up-to-date with the newest developments in AI/ML research and engineering to continuously improve our technical capabilities.
What we're looking for
+ Have minimum of 5+ Years of professional experience and a Master's Degree or PhD in Computer Science, AI, Machine Learning, or a related field.
+ Be proficient in one or more programming languages such as Python, Java.
+ Be proficient in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
+ Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
+ Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
+ Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.
Salary Range or On Target Earnings:
Minimum:
$137.700,00
Maximum:
$275.400,00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
09/30/25
Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.
About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial systems (UAS) to execute autonomous missions.
**DUTIES AND RESPONSIBILITIES:**
+ Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
+ In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
+ In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
+ Completes programming and implements efficiencies, performs testing and debugging.
+ Completes documentation and procedures for installation and maintenance.
+ Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
+ Lead technical teams and scope challenging projects into executable sprints.
+ Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
+ Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
+ Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
+ Interface with external vendors and partners to integrate their technology into the team's autonomy stack.
+ Maintains the strict confidentiality of sensitive information.
+ Performs other duties as assigned.
+ Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
49484
**Job Qualifications:**
+ Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and two or more years of machine learning experience with a bachelors degree. May substitute equivalent machine learning engineer experience in lieu of education.
+ Must have an understanding of machine learning concepts, principles, and theory.
+ Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
+ Experience in developing and leading scalable software architectures from scratch.
+ Experience in optimizing AI models to meet edge processing requirements.
+ Strong coding skills in Java, Java Script, C/C++, Python
+ Experience in AI frameworks such as Tensorflow and pyTorch.
+ Excellent verbal and written communication skills.
+ Must be able to architect, design, and develop complex software.
+ Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
+ Active membership and participation in relevant conference and professional society organizations.
+ Demonstrated recent history of academic quality publications in the area of AI/ML and autonomy.
+ Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
+ Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
+ Must be able to work both independently and on a team.
+ Able to work extended hours as required.
+ Customer focused, must be able to work on a self-initiated basis and in a team environment, and able to work extended hours and travel as required.
+ Ability to obtain and maintain a DoD security clearance is required.
**Salary:** $98,100 - $171,398 **Travel Percentage Required** 0 - 25 **Relocation Assistance Provided** Not Provided **US Citizenship Required?** Yes **Clearance Required?** Desired **Clearance Level** Entry-Level (0-2 years) **Workstyle** Hybrid
General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. EEO is the law. We also prohibit compensation discrimination under all applicable laws. To learn more visit Notices.pdf. U.S. Citizenship is required for certain positions.

This role is embedded with Ford Performance, Ford's motorsport division, for the first two years. Successful candidates will be expected to develop AI and Machine Learning-driven solutions for Ford Performance and its motorsport partners. They will leverage diverse sources of data, such as time-series, images, audio, and video to develop predictive models and deploy them in prototype applications for downstream consumption. Frequent travel will be required.
+ Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
+ Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
+ Apply AI and Machine Learning technology to solve complex, real-world problems.
+ Analyze and visualize diverse sources of data, interpret results and report results clearly and concisely.
+ Fulfill problem formulation and ML approaches.
Required Qualifications:
+ Bachelor's or Master's degree in Computer Science, Statistics, Applied mathematics, or other engineering discipline.
+ 2-3+ years experience in feature engineering, model development, hyper parameter tuning, and model evaluation
+ 2-3+ years experience with Python, Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
+ 2+ years Google Cloud Platform
+ Core concepts of modern NLP or Computer Vision modeling techniques
+ Familiarity with best practices in deep learning
+ Familiarity with API and application development and tools such as FastAPI or Dash.
+ Strong technical writing and oral skills
Preferred Qualifications:
+ Ph.D. degree in a STEM field
+ Git and best practices in GitHub
+ Test and Behavior Driven Development
+ OS: Linux shell scripts and Docker containers
+ Exposure to best practices in CI/CD
_*Travel is required for the first 2 years in this role due to client demand, once a month expected*_
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder.or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary ( role is based out of Palo Alto, CA or Dearborn, MI, you will be required to be on-site 4 days/week._**
**_*Visa Sponsorship IS provided for this specific role_** ***
**_*Relocation assistance IS provided for this specific role*_**
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call .
#LI-On-site
#LI-DS2
**Requisition ID** : 50259

**Our vision is to transform how the world uses information to enrich life for** **_all_** **.**
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Analyze existing data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process. Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizations best practices. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Communicate findings, insights, and recommendations to both technical and nontechnical stakeholders in a clear and accessible manner. May telecommute parttime.
Employer will accept a Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 3 years of experience in the job offered or in an AI Engineer-related ccupation; Alternatively, employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 1 year of experience in the job offered or in an AI Engineer-related occupation.
Position requires:
1. Building and executing end-to-end Machine Learning (ML) systems automating training, testing, and deploying ML models in cloud platforms;
2. Working with ML frameworks, including TensorFlow, PyTorch, scikit-learn;
3. Prediction (regression) and classification algorithms and deep learning, reinforcement learning and generative Artificial Intelligence (AI);
4. Programming skills in Python or Java;
5. Developing ML or AI solutions with either Python, AWS, AZURE, or GCP;
6. Using Docker, Kubernetes and containerization;
7. Using ETL to develop pipelines (Airflow/Kubeflow/Dataflow);
8. Writing and understanding SQL;
9. Data architecture, including data structures or data schemas.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your **right to work click here. ( learn more about Micron, please visit **micron.com/careers**
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert **:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

This role is embedded with Ford Performance, Ford's motorsport division, for the first two years. Successful candidates will be expected to develop AI and Machine Learning-driven solutions for Ford Performance and its motorsport partners. They will leverage diverse sources of data, such as time-series, images, audio, and video to develop predictive models and deploy them in prototype applications for downstream consumption. Frequent travel will be required.
+ Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
+ Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
+ Apply AI and Machine Learning technology to solve complex, real-world problems.
+ Analyze and visualize diverse sources of data, interpret results and report results clearly and concisely.
+ Fulfill problem formulation and ML approaches.
Required Qualifications:
+ Bachelor's or Master's degree in Computer Science, Statistics, Applied mathematics, or other engineering discipline.
+ 2-3+ years experience in feature engineering, model development, hyper parameter tuning, and model evaluation
+ 2-3+ years experience with Python, Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
+ 2+ years Google Cloud Platform
+ Core concepts of modern NLP or Computer Vision modeling techniques
+ Familiarity with best practices in deep learning
+ Familiarity with API and application development and tools such as FastAPI or Dash.
+ Strong technical writing and oral skills
Preferred Qualifications:
+ Ph.D. degree in a STEM field
+ Git and best practices in GitHub
+ Test and Behavior Driven Development
+ OS: Linux shell scripts and Docker containers
+ Exposure to best practices in CI/CD
_*Travel is required for the first 2 years in this role due to client demand, once a month expected*_
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder.or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary ( role is based out of Palo Alto, CA or Dearborn, MI, you will be required to be on-site 4 days/week._**
**_*Visa Sponsorship IS provided for this specific role_** ***
**_*Relocation assistance IS provided for this specific role*_**
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call .
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**Requisition ID** : 50259