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Ml Infrastructure Engineer Jobs in Michigan (NOW HIRING)

Stellantis

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and infrastructure automation. Preferred Qualifications: * Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field * Experience integrating AI/ML ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... developers, own the quality bar and delivery cadence, and operationalize a continuous dataset ... Scale on cloud infrastructure - build distributed, reproducible pipelines using columnar data ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... bench infrastructure and CI/CD pipelines. * Implement automated regression testing for ML model ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... developers, own the quality bar and delivery cadence, and operationalize a continuous dataset ... Scale on cloud infrastructure - build distributed, reproducible pipelines using columnar data ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and infrastructure using Databricks and related cloud technologies. This role ensures data is ... Implements monitoring and alerting for data pipelines and ML models to proactively identify and ...

May Mobility

Senior Autonomy Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and maintain developer tooling and infrastructure, including build scripts, test harnesses ... Support data and ML pipelines that feed model training, evaluation, and deployment. Skills and ...

General Motors

Staff Machine Learning Engineer - Mapping

Warren, MI · On-site

$185K - $335K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization. What You'll Do (Responsibilities) * Architect and lead ML-driven map reconstruction ...

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$105K/yr

... infrastructure that supports them. Required Qualifications * Bachelor's or Master's degree in ... Familiarity with adversarial ML, prompt injection, and model abuse research. * Proficiency in ...

FastTek

Senior Cloud Database Engineer

Dearborn, MI

$97K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/ML Collaboration: Partner with AI/ML teams to embed ML, statistical models, and GenAI into data ... Infrastructure as Code: Build and maintain Terraform templates for automated provisioning and ...

THOMSON REUTERS

Principal Engineer

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Be the expert in new model capabilities, collaborating closely with AI/ML engineers, researchers ... Experience with AI-adjacent infrastructure: vector databases, embeddings, semantic search, or ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our ... You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware ...

Corning

$104K - $125K/yr

... AI/ML initiatives across a global organization. What is your role? As a Lead Data Engineer, you ... infrastructure-as-code technologies such as Terraform or CloudFormation. - Experience with ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our ... You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and infrastructure using Databricks and related cloud technologies. This role ensures data is ... Implements monitoring and alerting for data pipelines and ML models to proactively identify and ...

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Showing results 41-60

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Michigan

Ml Infrastructure Engineer information

See Michigan salary details

$40.5K

$110.8K

$158.6K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ml infrastructure engineer in Michigan is $110,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $122,900.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Michigan?

For Ml Infrastructure Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Michigan look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Michigan are:

What cities in Michigan are hiring for Ml Infrastructure Engineer jobs?

Cities in Michigan with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,750 per year, or $53.2 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Lansing, MI • On-site

$180 - $240/hr

Other

Re-posted 2 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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