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Machine Learning Research Scientist Jobs in Indiana

Bespoke Labs

Machine Learning Engineer

Evansville, IN · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Terre Haute, IN · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Indiana University

Postdoctoral Researcher

Bloomington, IN · On-site

$60K/yr

... research, evidence accumulation modeling, and computational cognitive science. The Luddy School of Informatics, Computing, and Engineering A top-tier program in computer vision, machine learning, and ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... including machine learning, deep learning, statistical methods and operations research (e.g ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... including machine learning, deep learning, statistical methods and operations research (e.g ...

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All JobsMachine Learning Research Scientist JobsMachine Learning Research Scientist Jobs in Indiana

Machine Learning Research Scientist information

See Indiana salary details

$48.1K

$123.8K

$165.6K

How much do machine learning research scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning research scientist in Indiana is $123,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $164,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Scientist position, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Indiana? The most popular types of Machine Learning Research Scientist jobs in Indiana are:
What are popular job titles related to Machine Learning Research Scientist jobs in Indiana? For Machine Learning Research Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Scientist jobs in Indiana look for? The top searched job categories for Machine Learning Research Scientist jobs in Indiana are:
Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $123,814 per year, or $59.5 per hour.

Machine Learning Engineer

Bespoke Labs

Evansville, IN • On-site

Full-time

Posted 27 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

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