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Machine Learning Object Detection Jobs in Royal Oak, MI

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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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 30, 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 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.

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 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 popular job titles related to Machine Learning Object Detection jobs in Royal Oak, MI?

For Machine Learning Object Detection jobs in Royal Oak, MI, the most frequently searched job titles are:

Machine Learning Object Detection jobs near you

Perception Machine Learning Engineer - ADAS

Lucid Motors

Southfield, MI • On-site

Full-time

Posted 24 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

19th of 45 rated automakers

Job description

Role and Responsibilities 

  • Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data. 
  • Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. 
  • Research and integrate BEV-based transformer models for perception tasks. 
  • Collaborate with cross-functional teams to ensure seamless integration and robust implementation. 
  • Test, release, and deploy perception algorithms into Lucid production programs. 
  • Support validation and verification of perception algorithms using prototype and pre-production vehicles. 
  • Propose innovative software algorithms to enhance future autonomous driving capabilities. 

Required Qualifications 

  • Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation. 
  • Proficient in Python with a focus on clean, efficient, and scalable software development. 
  • Comfortable working with large codebases and debugging complex machine learning models. 
  • Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet). 
  • Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments. 
  • Excellent communication skills and a strong team player. 
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field. 
  • Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position. 
  • Advanced degrees are preferred. 
  • Experience in Automotive/Autonomous Driving background

Preferred Qualifications 

  • Experience developing BEV transformer models for perception. 
  • Proficiency in C++ with experience writing efficient, maintainable code. 
  • Practical, hands-on approach to solving complex problems in autonomous driving. 
  • Experience in testing and validating perception systems in real-world conditions. 
  • Experience working in agile development teams. 
  • Expertise in component and system integration, testing, and verification at the system and vehicle levels. 
 
 
 
 
 
 
 
 
 
At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

What Lucid Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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