8,358 Computer Vision jobs in the United States

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Researcher

General Summary:

Qualcomm's Multimedia R&D computer vision Group is seeking passionate candidates with expertise in Computer Vision and Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for multimedia applications enriching the embedded systems for Smartphone, IOT, Compute and Extended Reality.

The candidate should have a deep understanding in digital signal processing, and data-driven approaches in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python and C/C++ programming. The selected candidate will have responsibilities in the following areas:

• System architecture design and development of computer vision applications on Android/windows/Linux platforms. Research and develop efficient deep learning architectures and models for AI-enabled camera, video analytics, biometrics, and extended reality.

• Research and development of multimedia applications by generative AI, including LLM, VLM, LVM, and other multi-modal models.

• This includes but not limited to video semantic analytics, human face and body 3D analysis, biometrics with forgery detection, face and body synthesis and editing with GenAI, and 3D body/face reconstruction/editing from 2D images.

Must have Qualifications

• Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.

• 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics.

• 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.

• Solid Background in software development, digital signal processing, computer vision or computer graphics.

• Solid background in machine/deep learning fundamental knowledges and mathematics.

• Proficiency in C/C++ and Python programming.

Preferred Qualifications

• Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software.

• Expertise in various networks architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, and ResNets models.

• Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing.

• Excellent written and verbal communication skills.

• Track record of driving ideas from design through commercialization.

• Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems.

• Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.

• Team Player.

Minimum Qualifications:

• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits :

$159,100.00 - $238,700.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers ( .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

Summary:

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.

Required Skills:

Computer Vision Engineer Responsibilities:

1. Lead development, refinement, and launch of Computer Vision/Machine Learning solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation

2. Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines

3. Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images

4. Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design

5. Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientist, interns, and contractors

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Background in computer vision, classical image processing, and 2D/3D spatial data analysis

3. Experience with computer graphics, and physics-based/geometric modeling

4. Working knowledge of imaging systems and optics simulation

5. Direct background in machine learning, deep learning, neural networks and similar data-driven techniques

6. Experience with mentorship and acting as project technical lead

Preferred Qualifications:

Preferred Qualifications:

1. Master's or PhD in engineering, physics, or computer science

2. Experience with latest graphics techniques such as NERF and Gaussian splatting

3. Familiarity with procedural rendering engines, ray tracing, and path tracing

4. Knowledge of eye tracking techniques and models

5. Experience in eye and face simulation and image generation

6. Background in AR/VR technology development

Public Compensation:

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Summary:

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.

Required Skills:

Computer Vision Engineer Responsibilities:

1. Lead development, refinement, and launch of Computer Vision/Machine Learning solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation

2. Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines

3. Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images

4. Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design

5. Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientist, interns, and contractors

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Background in computer vision, classical image processing, and 2D/3D spatial data analysis

3. Experience with computer graphics, and physics-based/geometric modeling

4. Working knowledge of imaging systems and optics simulation

5. Direct background in machine learning, deep learning, neural networks and similar data-driven techniques

6. Experience with mentorship and acting as project technical lead

Preferred Qualifications:

Preferred Qualifications:

1. Master's or PhD in engineering, physics, or computer science

2. Experience with latest graphics techniques such as NERF and Gaussian splatting

3. Familiarity with procedural rendering engines, ray tracing, and path tracing

4. Knowledge of eye tracking techniques and models

5. Experience in eye and face simulation and image generation

6. Background in AR/VR technology development

Public Compensation:

$85.10/hour to $251,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software. Our mission Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come. We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch. Our product We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team. The role As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing understanding of the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience. Job Requirements BS/MS in relevant technical degree 3+ years of experience with building computer vision software Strong coding ability; strong grasp of Python Experience with stereo vision, 3D reconstruction, and stereo calibration Experience with training neural networks / deep learning (ideally pytorch) Bonus Requirements Experience optimizing model inference for real-time inference on limited resources Strong software engineering skills; knowledge of best practices, testing, and deployment Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments Experience with Docker and cloud SW development (i.e. AWS) Basic database interaction; knowledge of SQL Benefits Competitive salaries and generous equity Unlimited vacation policy Flexible working hours + hybrid work policy Medical, vision, & dental insurance Retirement matching plan Potential travel to Norway Evolve in a fast-paced environment Be able to shape a business in its early days Get ideas, feedback, and suggestions from other best-in-their-field colleagues Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow $130,000 - $170,000 a year Aquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location. Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors. At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible! #J-18808-Ljbffr

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics.

In the Human Interactive Driving team, we are looking to build the future of intelligent vehicles that center the human experience. We do this by simultaneously working to understand human learning, while also pushing the limits of what can be achieved with autonomous control. Then, we bring the two elements together in a shared autonomy framework, amplifying human potential.

This role would be part of a new "Mobility 3.0" project that aims to bridge the gap between pure research and new product development. We will work closely with partners in Japan to rapidly prototype novel applications of innovative technology (including, of course, AI) to different types and scales of vehicles (including very small).

Responsibilities

• Work across teams to ideate on novel concepts for computer vision applications, including understanding and communicating the benefits and limitations of the current state-of-the-art, and the sensitivity to data availability and quality.
• Work multi-functionally with mechanical, electrical, and software engineers to build development and testing plans for computer vision components of larger, integrated mechatronics projects.
• Own the design, development, and deployment of computer vision systems for unique vehicle types.
• Travel occasionally to engage in testing of experimental vehicles, including to California and Japan.

• MS in Computer Science or related field, or BS + 3-5 years of experience.
• Experience in fine-tuning, training, and deploying ML computer vision systems.
• Familiarity with the current state of the art for computer vision.

• Experience with real hardware, e.g. robots with cameras, is a huge plus.
• Experience with ML infrastructure is a plus.

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.

Our mission

Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.

Our product

We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.

Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.

The role

As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.

Job Requirements

• BS/MS in relevant technical degree
• 3+ years of experience with building computer vision software
• Strong coding ability; strong grasp of Python
• Experience with stereo vision, 3D reconstruction, and stereo calibration
• Experience with training neural networks / deep learning (ideally pytorch)

• Experience optimizing model inference for real-time inference on limited resources
• Strong software engineering skills; knowledge of best practices, testing, and deployment
• Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
• Experience with Docker and cloud SW development (i.e. AWS)
• Basic database interaction; knowledge of SQL

• Competitive salaries and generous equity
• Unlimited vacation policy
• Flexible working hours + hybrid work policy
• Medical, vision, & dental insurance
• Retirement matching plan
• Potential travel to Norway
• Evolve in a fast-paced environment
• Be able to shape a business in its early days
• Get ideas, feedback, and suggestions from other best-in-their-field colleagues
• Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.

Our mission

Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.

We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.

Our product

We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.

Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.

The role

As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.

Job Requirements

• BS/MS in relevant technical degree
• 3+ years of experience with building computer vision software
• Strong coding ability; strong grasp of Python
• Experience with stereo vision, 3D reconstruction, and stereo calibration
• Experience with training neural networks / deep learning (ideally pytorch)

• Experience optimizing model inference for real-time inference on limited resources
• Strong software engineering skills; knowledge of best practices, testing, and deployment
• Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
• Experience with Docker and cloud SW development (i.e. AWS)
• Basic database interaction; knowledge of SQL

• Competitive salaries and generous equity
• Unlimited vacation policy
• Flexible working hours
• Medical, vision, & dental insurance
• Retirement matching plan
• Potential travel to Norway
• Evolve in a fast-paced environment
• Be able to shape a business in its early days
• Get ideas, feedback, and suggestions from other best-in-their-field colleagues
• Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow

• Work with engineers and technical artists to build and render procedural / ML techniques for creating indoor and outdoor scenes
• Contribute to scaled rendering pipelines generating millions of image frames
• Partner with Computer Vision / Machine Learning teams on dataset creation including requirements and deliveries.
• Build scaled workflows encompassing an entire render pipeline from sensor simulation and scene generation to rendering and ground truth creation (creating semantic segmentation, depth, normals, etc)
• Study state-of-the-art algorithms in the field of camera-based signal processing
• Assess and recommend emerging technologies through close partnership with external, industry leading suppliers
• Analyze and improve efficiency of algorithms

• Expert knowledge of Python / C++
• Experience in at least one graphics system (Blender preferred)
• Strong general computer graphics knowledge and experience
• Excellent communication skills both verbal and written.
• Strong analytical and problem-solving skills.
• Preferred: Knowledge in 3D computer vision / machine learning

• Master's degree in software engineering / computer science / computer graphics

• Python, SQL, C++
• Familiarity 3d blender tools, procedural scene generation tool, computer graphics experience (raytracing)
• Excellent communication skills both verbal and written

• Knowledge in 3D computer vision / machine learning
• Experience or Gaming/Film
• Experience or interest in ML based rendering techniques