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Senior Machine Learning Researcher Jobs in Michigan

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... senior engineers. * Train control models, track and interpret their performance, and dig into why a ... Desired Qualifications * 2-8+ years of experience (including internships or research) in machine ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

... Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy ...

General Motors

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

AI/ML Senior Researcher - Smart Manufacturing Systems Research Group Who We Are The Materials ... Lead technical work across a broad set of AI domains, including classical machine learning, deep ...

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Senior Machine Learning Researcher information

See Michigan salary details

$24.8K

$66.8K

$119.8K

How much do senior machine learning researcher jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior machine learning researcher in Michigan is $66,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $85,900.00 per year, depending on experience, location, and employer.

What does a senior machine learning researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What are the key skills and qualifications needed to thrive as a senior machine learning researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for senior machine learning researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are the most commonly searched types of Machine Learning Researcher jobs in Michigan?

The most popular types of Machine Learning Researcher jobs in Michigan are:

What are popular job titles related to Senior Machine Learning Researcher jobs in Michigan?

For Senior Machine Learning Researcher jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Researcher jobs in Michigan look for?

The top searched job categories for Senior Machine Learning Researcher jobs in Michigan are:

What cities in Michigan are hiring for Senior Machine Learning Researcher jobs?

Cities in Michigan with the most Senior Machine Learning Researcher job openings:

Senior Machine Learning Researcher jobs near you

Perception Machine Learning Engineer - ADAS

Southfield, MI • On-site

Lucid Motors
Manufacturing • 1 - 5K employees
Learn more about Lucid Motorsexternal

Full-time

Re-posted 9 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

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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