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Machine Learning Object Detection Jobs in Royal Oak, MI

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Adapt machine learning and Gen AI capabilities to domains such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, intelligent document processing, and ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

Strong grasp of machine learning concepts and neural network architectures (CNNs, RNNs, transformers). * Experience in image segmentation, object detection, and image data preparation/enhancement (e ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

Strong grasp of machine learning concepts and neural network architectures (CNNs, RNNs, transformers). * Experience in image segmentation, object detection, and image data preparation/enhancement (e ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

... vision, deep learning, and autonomous systems. * Work on topics such as object detection, pose ... Strong academic foundation in machine learning, image processing, linear algebra, and probability.

Tata Consultancy Services

AI Researcher

Detroit, MI

... vision, deep learning, and autonomous systems. * Work on topics such as object detection, pose ... Strong academic foundation in machine learning, image processing, linear algebra, and probability.

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... detect early indicators and recommend actions to prevent/mitigate RAV Execute quick turn studies ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Royal Oak, MI

Machine Learning Object Detection information

See Royal Oak, MI salary details

$29.4K

$120.3K

$180.8K

How much do machine learning object detection jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning object detection in Royal Oak, MI is $120,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
Machine Learning Object Detection jobs near you

Senior Software Engineer - Machine Learning - Multi-Object Tracking

Latitude AI

Dearborn, MI • On-site, Remote

$112K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Latitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - 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 a group of highly skilled and experienced professionals who specialize in cutting-edge multi-object tracking, scene estimation, and machine learning technology. Together, we collaborate to create advanced models that are capable of temporally tracking both static and dynamic actors as well as estimating road features. The State Estimation team is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization.
The team's primary focus is on developing compute-efficient models and systems that can perform a wide range of tasks such as closed world multi-object tracking, track-to-detection data association, object motion forecasting, uncertainty estimation, road shape estimation. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production-grade perception systems on vehicles.
To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge tracking algorithms, ML algorithms, and models that can help vehicles reason about the world around them in real-time.
What you'll do:
  • Develop spatio-temporal machine learning models for multi-object tracking and uncertainty estimation.
  • Develop machine learning models to estimate road features, lane markings, road shape and road topology
  • Read literature, analyze raw data, and design state-of-the-art solutions
  • Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
  • Collaborate with perception experts and experienced roboticist on algorithm design, prototyping, testing, deployment, and productization
  • Build and maintain industry-leading software practices and principles
  • Develop clean and efficient software for perception modules interfacing with other key modules
  • Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

What you'll need to succeed:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience)
  • Experience in developing multi-object tracking systems using machine learning models
  • Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks
  • Strong experience in computer vision, perception, and deep learning
  • Proven experience in shipping perception software products to industry or consumers
  • At least 4 years of development experience in Python/C++ environment

Nice to have (optional):
  • Ph.D. with machine learning focus, or equivalent experience.
  • Experience developing and deploying machine learning models with compute constraints.

What we offer you:
  • 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 and Adoption/Surrogacy support program
  • Paid medical leave
  • Unlimited vacation and 15 paid holidays
  • Complimentary daily lunches, beverages, and snacks for onsite employees
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • 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 Latitude'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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