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Senior Machine Learning Engineer Jobs in Flint, MI

... direction of senior engineers and Management. MANUFACTURING RESPONSIBILITIES * Sets up, and ... Understanding of best practices for both machining and work holding techniques. * Possesses a good ...

... Engineering, and Finance/Controlling, as well as external suppliers. * Develop and maintain ... Noise - heavy machinery - if in plant. * Noise - vibratory bowls and air feed systems - if in plant.

... Quote Review with senior management and follow up as needed · Complete Quote Entry and ... · Previous machining or relevant technical experience · Previous experience in customer ...

Creative and Innovative Thinking * Development and Continual Learning * Problem Solving ... senior evaluation and approval. * Supporting our Quality department in the qualification and ...

Creative and Innovative Thinking * Development and Continual Learning * Problem Solving ... senior evaluation and approval. * Supporting our Quality department in the qualification and ...

Creative and Innovative Thinking * Development and Continual Learning * Problem Solving ... senior evaluation and approval. * Supporting our Quality department in the qualification and ...

Showing results 21-40

Senior Machine Learning Engineer information

See Flint, MI salary details

$57.9K

$123.1K

$178.5K

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

As of Aug 19, 2026, the average yearly pay for senior machine learning engineer in Flint, MI is $123,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $139,600.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Flint, MI?

The most popular types of Machine Learning Engineer jobs in Flint, MI are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Flint, MI?

For Senior Machine Learning Engineer jobs in Flint, MI, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Flint, MI look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Flint, MI are:

What cities near Flint, MI are hiring for Senior Machine Learning Engineer jobs?

Cities near Flint, MI with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Flint, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,108 per year, or $59.2 per hour.

Manufacturing Process Engineer

Newcor Inc

Corunna, MI • On-site

$70K - $100K/yr

Full-time

Re-posted 2 days ago


Job description

POSITION TITLE: Manufacturing Process Engineer

DEPARTMENT: Engineering

ACCOUNTABILITY: Engineering Manager

JOB SUMMARY

Performs basic professional manufacturing engineering and production assignments in support and under the direction of senior engineers and Management.

MANUFACTURING RESPONSIBILITIES

  • Sets up, and programs CNC Lathes and Mills. Including but not limited to the following:
  • Changing of chucks, tool bar changes and touch offs, cutting jaws on lathe, indicating in tailstocks, checking for backlash, indicating in drills in lathe turrets, indicating and

Picking up work offsets, creating new and editing CNC programs.

  • Experience with Cylindrical grinders, Broaches and Rack Rolling processes preferred, but not required.
  • High-level trouble shooting and problem-solving skills related to tool breakage, chatter, surface finish, runout issues, scrap, Work-Holding, etc.
  • Understanding of best practices for both machining and work holding techniques.
  • Possesses a good understanding of GD&T and develops processes and programs aimed at meeting the GD&T requirements.
  • Performs capability studies, produce prototype parts, sample orders.
  • Creates and provides training books with detailed set-up instructions for manufacturing technicians.
  • Uses written and verbal instructions, drawings, diagrams and schematics to accomplish tasks
  • Active member of new program launches teams.
  • Define written process procedures for machine changeovers
  • Creates and provides training books with detailed set-up instructions for manufacturing technicians.
PRODUCTION ENGAGEMENT
  • Perform daily Gemba walk for each work center
  • Analyze downtime trends
  • Develop continuous improvement culture with production employees
  • Responsible for developing / implementing continuous improvement actions against top production issues
  • Participate in production team meetings (monthly)
  • May be required to train and assist both, Team Leaders and machine Operators. At limited times may be required to train on off shifts

SCRAP REDUCTION

  • Provide detailed scrap reports per work center
  • Coordinate / lead overall plant scrap reduction, with focus on priority work centers from upper management
  • Develop & implement action items against top scrap elements
  • Monitor effectiveness of scrap reduction items

PRODUCTION LINE ANALYSIS

  • Perform takt time studies per work center as needed
  • Compare real time production analysis versus Quote Model Criteria’s (tooling, cycle times, labor, etc.)

SKILLS AND EDUCATIONAL REQUIREMENTS

  • Minimum two-year technical degree or 5 years’ minimum experience in manufacturing machining, and process position.
  • Mechanical aptitude and problem-solving skills. IE root cause analysis are preferential.
  • Requires team-oriented leadership skills and continuing education/training mechanical engineering techniques.

INTER-RELATIONSHIPS

  • Maintains interface with all functional departments of plant.

WORKING CONDITIONS

  • Physical demands required occasional climbing.
  • Frequent stooping, kneeling, crouching, reaching, handling, and fine motor skills.
  • May be required to lift 50LBS
  • Environmental conditions: Exposure to noise, weather, moving mechanical parts of equipment, tools, or machinery.