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Mixed Methods Research Jobs in Michigan (NOW HIRING)

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Senior Optimization Engineer

Warren, MI · On-site

$97K - $134K/yr

Key Responsibilities Develop and apply multi-objective optimization methods for engineering ... D. with demonstrated research in engineering optimization or related fields Experience with ...

Senior Optimization Engineer

Warren, MI · On-site

$97K - $134K/yr

Key Responsibilities Develop and apply multi-objective optimization methods for engineering ... D. with demonstrated research in engineering optimization or related fields Experience with ...

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Mixed Methods Research information

What is the difference between Mixed Methods Research vs Data Analyst?

AspectMixed Methods ResearchData Analyst
Required CredentialsMaster's degree in social sciences, research methods, or related fieldsBachelor's or master's degree in statistics, data science, or related fields
Work EnvironmentResearch institutions, universities, or organizations conducting mixed-method studiesCorporate, tech, finance, or healthcare sectors analyzing data sets
Industry UsageUsed in academic research, social sciences, and market researchApplied across industries for data interpretation and reporting
Search & Comparison IntentUnderstanding research methodologies and qualificationsAnalyzing data trends and insights

While both roles involve data and research, Mixed Methods Research focuses on combining qualitative and quantitative research approaches, often in academic or social science settings. Data Analysts primarily interpret and visualize data within various industries to support decision-making. The roles differ in scope, environment, and skill sets but share a foundation in data analysis and research principles.

What are popular job titles related to Mixed Methods Research jobs in Michigan? For Mixed Methods Research jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Mixed Methods Research jobs? Cities in Michigan with the most Mixed Methods Research job openings:
Infographic showing various Mixed Methods Research job openings in Michigan as of June 2026, with employment types broken down into 6% As Needed, 31% Full Time, and 63% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Kalamazoo, MI • On-site

Full-time

Posted 19 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