Mid Level Computer Vision Research Engineer Jobs
Mid level computer vision research engineer jobs go to engineers ready to own research pipelines end to end, guide junior teammates, and make architectural decisions with minimal oversight. Most openings are on-site, remote, or hybrid across Technology & Software, Electronics & Hardware, and Telecommunications, with employers like Apple, Qualcomm, and MOLG hiring at this level now.
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SUMMARY
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something! We are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. We are looking for a strong CVML engineer with both 3D geometry and ML background, optimally with experience in 3D rigid/non-rigid object tracking, sensor fusion, or SLAM/VIO. In this role, you will help design, build, and ship core 3D perception and input technologies used by millions of users.
DESCRIPTION
You will work closely with CVML researchers and engineers to develop world-class perception, spatial input, and 3D tracking algorithms and software. The role focuses on inventing and implementing state of the art CVML algorithms to solve cutting edge problems. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.
MINIMUM QUALIFICATIONS
- Bachelor’s degree with 5+ years of relevant industry experience
- Strong foundation in computer vision in one or multiple of these areas, including 3D rigid/non-rigid object tracking, multi-view geometry, and visual-inertial odometry (VIO)
- Proficiency in Python and deep learning frameworks such as PyTorch
PREFERRED QUALIFICATIONS
- PhD in computer vision, machine learning, robotics, or related fields
- Experience across both classical 3D computer vision and deep learning
- Familiarity with visual-inertial or multi-sensor fusion
- Strong C++ and systems engineering skills, with experience delivering robust, efficient algorithms
- Self-motivated with a proven record of prioritization and on-time delivery
COMPENSATION
- Base pay range for this role is between $184,700 and $324,800, 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.
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.
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.
Apple accepts applications to this posting on an ongoing basis.
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Mid Level Computer Vision Research Engineer Jobs: Frequently Asked Questions
How do I get a mid level computer vision research engineer job?
Position your experience around ownership, not just contribution. Highlight projects where you drove decisions on model architecture, dataset strategy, or deployment approach rather than executing tasks assigned by others. Strong applications show published work, open-source contributions, or deployed systems. Tailor your resume to match the specific vision domain each employer works in, whether that is autonomous vehicles, medical imaging, or industrial inspection.
Which companies hire mid level computer vision research engineers?
Companies hiring mid level computer vision research engineers right now include Apple, Qualcomm, and MOLG, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of deep-tech startups, defense contractors, automotive OEMs, and large technology companies running active computer vision research programs.
Are there remote mid level computer vision research engineer jobs?
Yes, though availability varies by employer and research focus. About 0% of mid level computer vision research engineer openings are remote or hybrid as of November 2026, with fully remote roles more common at software-first companies and hybrid arrangements more typical at labs that rely on specialized hardware or physical sensor rigs.
How do I move up to a mid level computer vision research engineer role?
Moving into a mid level role comes from consistently taking on more scope in your early positions. Build depth in one or two computer vision domains, such as object detection, 3D reconstruction, or video understanding, and pursue projects where you own the full pipeline from data collection through evaluation. Demonstrating measurable impact, like improving a model's accuracy on a production benchmark, signals readiness for mid level responsibilities.
Which industries hire the most mid level computer vision research engineers?
Mid Level computer vision research engineer roles concentrate in Technology & Software, Electronics & Hardware, and Telecommunications, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they deploy vision systems at scale, from autonomous driving perception stacks to robotic inspection in manufacturing, and need engineers who can own research workstreams with limited supervision.