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Ml Engineer Jobs in Michigan (NOW HIRING)

Cynet Systems

ML Engineer

Saint Louis, MI · On-site

$47 - $52/hr

ML Engineer Job Location: St Louis, MI Job Type: Contract Job Overview: Pay Range $47hr - $52hr Requirement/Must Have: * Bachelor s degree in Computer Science, Engineering, Data Science, or a related ...

New

NOX METALS

ML Engineer

Detroit, MI · On-site

They are seeking an ML Engineer to build the intelligence layer of the company, focusing on machine learning models for production optimization and data infrastructure. Responsibilities : • Own ML ...

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 5+ Years JD: Skills Required: * Artificial Intelligence & Expert Systems, Machine Learning, Data ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

As a Senior ML Engineer for Mapping, you will build the next generation of our mapping and localization stack, ensuring high-performance integration with the broader autonomy system and developing ...

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field. * 3 6 years of software development experience. * 2+ years of experience building AI/ML or Generative AI ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

What You'll Need to Succeed: * BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation. * Core Languages:

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Distributed ML & data frameworks - PyTorch, Lightning, Ray, Spark, or equivalent for training and ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Distributed ML & data frameworks - PyTorch, Lightning, Ray, Spark, or equivalent for training and ...

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All JobsMl Engineer JobsMl Engineer Jobs in Michigan

Ml Engineer information

See Michigan salary details

$28.8K

$77.7K

$123.8K

How much do ml engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for ml engineer in Michigan is $77,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $95,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields like software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge technology environments.

What does an ML engineer do?

An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.

What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are ML Engineers?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges Machine Learning Engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

Are ML engineers still in demand?

Yes, ML engineers are in high demand due to the growing adoption of machine learning and AI across industries. They are sought after for their skills in data modeling, programming, and tools like TensorFlow and PyTorch, with job opportunities expected to remain strong as organizations continue to leverage AI technologies.
What are the most commonly searched types of Ml Engineer jobs in Michigan? The most popular types of Ml Engineer jobs in Michigan are:
What are popular job titles related to Ml Engineer jobs in Michigan? For Ml Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Michigan look for? The top searched job categories for Ml Engineer jobs in Michigan are:
What cities in Michigan are hiring for Ml Engineer jobs? Cities in Michigan with the most Ml Engineer job openings:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Michigan as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $77,732 per year, or $37.4 per hour.

ML Engineer

Cynet Systems

Saint Louis, MI • On-site

$47 - $52/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New

Job description

We are looking for ML Engineer for our client in St Louis, MI

Job Title: ML Engineer

Job Location: St Louis, MI

Job Type: Contract

Job Overview:

Pay Range $47hr - $52hr

Requirement/Must Have:

  • Bachelor s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  • 1+ years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
  • Proven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, or equivalent).
  • Strong background in statistical analysis, data exploration, and working with large-scale datasets.
  • Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas, NumPy, Spark).
  • Demonstrated experience building or working with ranking models (learning-to-rank, neural ranking, or similar).
  • Experience with semantic search, embedding, or dense retrieval methods.
  • Deep understanding of search engines (Elasticsearch, Solr, OpenSearch), lexical search algorithms (BM25), information retrieval concepts, search relevance tuning, tokenization, stemming, and query parsing.
  • Experience with MLOps practices and tools (model versioning, experiment tracking, pipeline orchestration).
  • Proficiency in SQL and querying large datasets.
  • Strong problem-solving and analytical skills with the ability to think critically about complex search and ranking problems.
  • Excellent communication skills; ability to explain ML and search concepts to both technical and non-technical stakeholders.
  • Ability to collaborate with cross-functional teams.

Responsibilities:

  • Design, train, and evaluate ranking models (learning-to-rank, neural networks, embedding-based approaches) to optimize search relevance and personalization.
  • Analyze search query logs, evaluate user behavior data to identify opportunities for relevance improvements and inform ranking strategies.
  • Develop and engineer features from search, product, and user data to power ML models and improve ranking performance.
  • Implement semantic search for improved product discovery across chemistry and life science domains.
  • Optimize Elasticsearch/Lucene configurations, including tokenization, stemming, query parsing, and lexical search algorithms (BM25) to work in concert with ML models.
  • Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment using MLOps best practices.
  • Develop personalized ranking strategies that adapt to user segments, query intent, and business objectives; integrate collaborative filtering and content-based approaches.
  • Monitor search and ML model performance metrics in production; identify drift and continuously improve models based on new data and domain insights.

Nice to Have:

  • Experience in eCommerce Search.
  • Knowledge of microservices architectures, event-driven systems, and CI/CD Pipelines.
  • Experience in training & fine-tuning the models.
  • Experience with large language models (LLMs) or prompt engineering.
  • Experience with semantic indexing and dense vector search (e.g., vector databases).
  • Experience in Search Metrics evolution.
  • Familiarity with data visualization and analytics tools (Tableau, Looker, etc.).
  • Background in NLP, information retrieval, or computational linguistics.
  • Experience on search or ML-focused teams.
Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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