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Associate Full Stack Machine Learning Engineer Jobs in Michigan

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 ...

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 ...

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 ...

Full-Stack Engineer

Ann Arbor, 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 ...

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 ...

Full-Stack Engineer

Ann Arbor, 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 ...

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Associate Full Stack Machine Learning Engineer information

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 cities in Michigan are hiring for Associate Full Stack Machine Learning Engineer jobs? Cities in Michigan with the most Associate Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Bespoke Labs

Sterling Heights, MI • On-site

Full-time

Posted 20 days ago


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