Computer Vision Algorithm Engineer Jobs
Computer Vision Algorithm Engineer jobs are open across autonomous vehicles, robotics, healthcare imaging, and consumer electronics, from new-grad to principal and staff engineer, with specializations in object detection, 3D reconstruction, and real-time inference. Scan the live roles below and apply to whichever ones fit.
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At Apple, the Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you will work on core camera/ISP/machine learning technologies based on Apple-crafted image signal processing pipelines and hardware components, such as the Apple Neural Engine. Here you will have the chance to define the way Apple cameras capture, process, and render outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration at both team and cross-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, such as Silicon Design, Camera HW/SW, and QA. Our team environment is dynamic, fast-paced, and requires a self-starter attitude.
Description
In this role, you will be responsible for prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control. The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both computer vision and hardware, and ensure seamless integration with existing systems and processes. 1. Algorithm Development, Prototyping, and Implementation -Develop lightweight computer vision algorithms suitable for embedded systems, focusing on efficiency and performance. -Utilize both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches. -Drive the development of algorithms from concept to deployment. Optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks. 2. Simulation and Testing -Use camera simulations to prototype and test algorithms before hardware implementation. -Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios. 3. Collaboration and Integration -Work closely with various teams, such as SOC architecture, firmware, and other camera technology units, to integrate algorithms effectively. -Ensure smooth deployment and operation of algorithms within the broader camera system architecture. -Collaborate with multiple teams to deliver optimized solutions.
Minimum Qualifications
- Deep understanding of image signal processing for digital cameras.
- Strong embedded coding skills and understanding of object-oriented programming (OOP); proficiency in programming languages such as MATLAB, Python, C/C++, or similar.
- Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation.
Preferred Qualifications
- PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field.
- Strong background in computer vision and embedded systems.
- Proficiency in algorithm development, with proven experience in camera imaging algorithms, using a mix of traditional image processing techniques and machine learning approaches.
- Ability to tackle complex technical challenges and devise innovative solutions.
- Quick to learn and apply new technologies and methodologies.
- Comfortable operating in a dynamic and fast-paced environment.
- Driven to deliver high-quality features that enhance user experience.
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 $150,400 and $277,600, 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
At Apple, the Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you will work on core camera/ISP/machine learning technologies based on Apple-crafted image signal processing pipelines and hardware components, such as the Apple Neural Engine. Here you will have the chance to define the way Apple cameras capture, process, and render outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration at both team and cross-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, such as Silicon Design, Camera HW/SW, and QA. Our team environment is dynamic, fast-paced, and requires a self-starter attitude.
Description
In this role, you will be responsible for prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control. The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both computer vision and hardware, and ensure seamless integration with existing systems and processes. 1. Algorithm Development, Prototyping, and Implementation -Develop lightweight computer vision algorithms suitable for embedded systems, focusing on efficiency and performance. -Utilize both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches. -Drive the development of algorithms from concept to deployment. Optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks. 2. Simulation and Testing -Use camera simulations to prototype and test algorithms before hardware implementation. -Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios. 3. Collaboration and Integration -Work closely with various teams, such as SOC architecture, firmware, and other camera technology units, to integrate algorithms effectively. -Ensure smooth deployment and operation of algorithms within the broader camera system architecture. -Collaborate with multiple teams to deliver optimized solutions.
Minimum Qualifications
- Deep understanding of image signal processing for digital cameras.
- Strong embedded coding skills and understanding of object-oriented programming (OOP); proficiency in programming languages such as MATLAB, Python, C/C++, or similar.
- Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation.
Preferred Qualifications
- PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field.
- Strong background in computer vision and embedded systems.
- Proficiency in algorithm development, with proven experience in camera imaging algorithms, using a mix of traditional image processing techniques and machine learning approaches.
- Ability to tackle complex technical challenges and devise innovative solutions.
- Quick to learn and apply new technologies and methodologies.
- Comfortable operating in a dynamic and fast-paced environment.
- Driven to deliver high-quality features that enhance user experience.
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 $150,400 and $277,600, 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Computer Vision Algorithm Engineer Jobs by Experience Level
See All 6 Computer Vision Algorithm Engineer Jobs
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Find JobsComputer Vision Algorithm Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in computer vision algorithm engineer jobs.
- Proficiency in PyTorch or TensorFlow with hands-on model training and fine-tuning experience
- Strong foundation in linear algebra, probability, and optimization as applied to vision problems
- Experience deploying models to edge hardware using TensorRT, OpenVINO, or ONNX Runtime
- Proficiency in C++ and Python for algorithm development and production integration
- Hands-on experience with 2D and 3D computer vision libraries such as OpenCV and Open3D
- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
Tips for Your Computer Vision Algorithm Engineer Job Search
Tailor your resume to the pipeline
Hiring managers for computer vision roles scan for the full model lifecycle: data collection, annotation strategy, architecture selection, training, and deployment. List each stage you've owned, not just the frameworks you've used. Vague entries like 'worked on deep learning models' get filtered out fast.
Show benchmark results, not just project names
Quantify your model performance with concrete metrics: mean average precision, inference latency, frame rate on target hardware, or accuracy gains over a baseline. Reviewers who build these systems know what good numbers look like and will notice if yours are missing or suspiciously round.
Apply early to roles that fit
Migrate Mate lists computer vision algorithm engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Match your portfolio to the employer's domain
A robotics team and a medical imaging startup care about very different things. Reorder your GitHub repos or project writeups so the work closest to their domain appears first. A drone perception project buried below a generative art experiment signals misaligned priorities.
Prepare for the system design round
Many senior computer vision interviews include a design discussion: given a camera, an edge device, and a latency budget, how do you build a detection system end to end? Practice talking through hardware constraints, model compression choices, and fallback logic before you get to the whiteboard.
Negotiate by anchoring to hardware access
If base salary flexibility is limited, push for compute budget, GPU cluster access, or a hardware allowance instead. Teams working on real-time inference or large-scale training know these resources are expensive, and framing your ask around productivity rather than compensation lands better.
Computer Vision Algorithm Engineer Jobs: Frequently Asked Questions
How many computer vision algorithm engineer jobs are remote?
About 0% of computer vision algorithm engineer openings are fully remote or hybrid as of November 2026, though the share varies significantly by specialization. Roles focused on model training, algorithm research, and software-side inference work are more likely to be remote, while positions requiring lab hardware, sensor rigs, or on-vehicle testing almost always require on-site presence.
How do you become a computer vision algorithm engineer?
Start by building a solid foundation in linear algebra, probability, and Python, then work through the core computer vision curriculum covering image formation, feature extraction, and deep learning for detection and segmentation. Build several end-to-end projects you can show publicly, including at least one deployed to real hardware. Contribute to open-source vision repositories to demonstrate practical engineering judgment alongside research ability.
How do you get hired as a computer vision algorithm engineer with little experience?
Focus on project depth over project count. A single well-documented system that takes a vision problem from raw data through annotation, training, evaluation, and a working demo is worth more than several shallow notebooks. Target companies with applied research teams or robotics startups where junior engineers own full pipelines early. Internships and contract roles in adjacent areas like autonomous systems or medical imaging are common entry points.
What does the computer vision algorithm engineer interview process look like?
Most processes include an initial screening call, a technical phone round covering coding and vision fundamentals, and an on-site or virtual loop with separate sessions for algorithm implementation, system design, and a deep-dive on a past project. Some teams add a take-home assignment requiring you to train and evaluate a model on a provided dataset. Expect questions on loss functions, data augmentation tradeoffs, and debugging model failures.
Where can I find and apply to computer vision algorithm engineer jobs?
You can find and apply to computer vision algorithm engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 6 Computer Vision Algorithm Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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