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Computer Vision Engineer Jobs in Livonia, MI (NOW HIRING)

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Senior Autonomy Engineer

Ann Arbor, MI ยท On-site

$102K - $140K/yr

Familiarity with heuristic / classical perception, computer vision, multi-target tracking, or ... strong software engineering fundamentals. Physical Requirements * Standard office working ...

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Lead Perception Engineer

Ann Arbor, MI ยท On-site

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Bachelor's degree in Electrical and Computer Engineering, Software Engineering, Computer Science ... vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the ...

Showing results 41-60

Computer Vision Engineer information

See Livonia, MI salary details

$45.4K

$113.7K

$128.7K

How much do computer vision engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computer vision engineer in Livonia, MI is $113,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $123,100.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What cities near Livonia, MI are hiring for Computer Vision Engineer jobs?

Cities near Livonia, MI with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Livonia, MI as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $113,717 per year, or $54.7 per hour.

Senior Software Engineering Manager - Multi-Object Tracking & State Estimation

Doist

Detroit, MI โ€ข On-site

$253 - $380/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. Weโ€™re driven by the opportunity to reimagine what itโ€™s like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, youโ€™ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering โ€“ all dedicated to making a real, positive impact on the driving experience for millions of people.

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The State Estimation team is responsible for multi-object tracking and scene estimation, in both a classical physics-informed and modern ML sense. Collaborating with other ML teams, systems engineering, and product management, State Estimation builds advanced models that blend the best of the research literature with the needs of industry to estimate long-duration characteristics (e.g. kinematics, shape, etc) of both actors and road features. State Estimation is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization. The team takes these algorithms and models from the lab to the road, and directly powers production grade perception systems on our vehicles.

What youโ€™ll do:
  • Lead a team of experts to deliver critical functionality for the next generation of autonomy systems at Ford.
  • This functionality includes (but is not limited to) multi-object tracking, estimation of the road properties (such as lane markings, road shape, topology, etc) over time, and pre-collision assist / automatic emergency braking. Stay current with literature, analyze current system performance, and design state of the art solutions with the team for the above goals.
  • Develop ML models in both a modular and E2E framework.
  • Collaborate with expert roboticists and ML engineers and scientists to integrate and deploy State Estimation solutions into production.
  • Analyze failures and collaborate with systems engineering to develop verification and validation cases, and take ideas from concept into mass production.
  • Participate as a senior leader in next-generation autonomy development towards the Ford Large Driving Model.
What youโ€™ll need to succeed:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 10+ years of relevant experience
  • Master's degree and 8+ years of relevant experience
  • PhD and 5+ years of relevant experience
  • Experience developing and shipping learned multi-object tracking systems
  • Experience with classical state estimation methods, such as Kalman filters (and varieties thereof), particle filters, etc
  • Significant experience with Python and/or C++
  • Significant experience in computer vision, perception, and machine learning
  • Proven track record of shipping machine learning-based solutions to computer vision problems using PyTorch or similar (TensorFlow, JAX, etc)
Nice to have:
  • Ph.D. with focus on machine learning, or equivalent experience
  • Track record of shipping end to end computer vision systems
What we offer you:

The expected base salary range for this full-time position in California is $253,120 - $379,680 USD.

Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Latitude employees are also eligible to participate in Latitudeโ€™s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
  • Learn more about Latitudeโ€™s team, mission and career opportunities at lat.ai!

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.

Visa sponsorship is available for this position.

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.

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