ZipRecruiter

Log In

1

Freelance Full Stack Machine Learning Engineer Jobs in Michigan

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...

Bespoke Labs

Machine Learning Engineer

Kalamazoo, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Warren, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Max AI, Inc.

Full-Stack Engineer

Ann Arbor, MI

$140K - $220K/yr

Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ... A dedication to continuous learning and personal development. * A positive, collaborative spirit ...

Max AI, Inc.

Full-Stack Engineer

Birmingham, MI · On-site

$140K - $220K/yr

Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ... A dedication to continuous learning and personal development. * A positive, collaborative spirit ...

Max AI, Inc.

Full-Stack Engineer

Birmingham, MI · On-site

$140K - $220K/yr

Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ... A dedication to continuous learning and personal development. * A positive, collaborative spirit ...

next page

Showing results 1-20

All JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in Michigan

Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Michigan? The most popular types of Full Stack Machine Learning Engineer jobs in Michigan are:
What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Michigan? For Freelance Full Stack Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in Michigan with the most Freelance Full Stack Machine Learning Engineer job openings:
Freelance Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Mount Pleasant, MI • On-site

Full-time

Posted 11 days ago

Key responsibilities

  • Work directly with the research team on RL environment and task creation for agent training.

  • Design observation spaces, action spaces, reward signals, and success criteria for new environments.

  • Build infrastructure that enables world-scale RL training.

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

Apply