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Research Assistant Machine Learning Jobs in Huntsville, AL

Bespoke Labs

Machine Learning Engineer

Huntsville, AL · 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 ...

Teledyne FLIR LLC

Operations Research Analyst

Huntsville, AL · On-site

$97K - $114K/yr

The OR Analyst will conduct analyses of expeditionary medical systems and assist in the development ... Familiarity or experience with machine learning algorithms. * Education or experience using ...

Teledyne

Operations Research Analyst

Huntsville, AL · On-site

$97K - $114K/yr

The OR Analyst will conduct analyses of expeditionary medical systems and assist in the development ... Familiarity or experience with machine learning algorithms. * Education or experience using ...

Teledyne

Jr. Operations Research Analyst

Huntsville, AL · On-site

$97K - $114K/yr

The OR Analyst will conduct analyses of expeditionary medical systems and assist in the development ... Familiarity or experience with machine learning algorithms. * Education or experience using ...

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

deciBel Research has an immediate opening for a Jr. Software Developer in Huntsville, AL.Position ... Python, machine learning frameworks, APIs, and modern software engineering practicesDevelop ...

DESE Research

AI Security Engineer

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in AI threat modeling, AI risk research, or related disciplines. * Experience training and using Machine Learning models. * Experience using AI observability, tracing, and evaluation tools ...

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How much do research assistant machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for research assistant machine learning in Huntsville, AL is $21.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.10 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Huntsville, AL?

For Research Assistant Machine Learning jobs in Huntsville, AL, the most frequently searched job titles are:

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The top searched job categories for Research Assistant Machine Learning jobs in Huntsville, AL are:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $44,902 per year, or $21.6 per hour.

Machine Learning Engineer

Bespoke Labs

Huntsville, AL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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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