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Machine Learning Manager Jobs in Owosso, MI (NOW HIRING)

AMC Health

Senior Software Engineer Applied AI

Lansing, MI · On-site

$124K - $163K/yr

... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... Managed compute, data, streaming, and orchestration services * Security engineering in a regulated ...

New

Software People, Inc.

AI Developer

Lansing, MI · On-site

... Machine Learning (ML) concepts. * 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. * 3+ years in projects development using Angular/React JS, JavaScript framework ...

Eightelevengroup

Analytics Project Lead

Lansing, MI · On-site

$90 - $115/hr

... machine learning, decision intelligence, or MLOps workflows Relevant Backgrounds / Titles Candidates may have experience in roles such as: * Project Manager * Technical Project Manager * Scrum Master

New

Westrock

Technical Trainer

Lansing, MI · On-site

$33 - $43.75/hr

Participates in new teammate hiring process - assesses candidates' skills (general and/ or machine ... Knowledge of Learning Management Systems preferred * Microsoft Office Experience Preferred- Word ...

Smurfit Westrock

Technical Trainer

Lansing, MI · On-site

$33 - $43.75/hr

Participates in new teammate hiring process - assesses candidates' skills (general and/ or machine ... Knowledge of Learning Management Systems preferred * Microsoft Office Experience Preferred- Word ...

Brooksource

Analytics Project Lead

Lansing, MI · On-site

$43 - $55/hr

... machine learning, decision intelligence, or MLOps workflows Relevant Backgrounds / Titles Candidates may have experience in roles such as: * Project Manager * Technical Project Manager * Scrum Master

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Owosso, MI

Machine Learning Manager information

See Owosso, MI salary details

$45.8K

$73.4K

$106.1K

How much do machine learning manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning manager in Owosso, MI is $73,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $83,100.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What cities near Owosso, MI are hiring for Machine Learning Manager jobs?

Cities near Owosso, MI with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Owosso, MI as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $73,442 per year, or $35.3 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Lansing, MI • On-site

$180 - $240/hr

Other

Re-posted 5 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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