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Weekend Machine Learning Jobs in Oak Ridge, TN (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Knoxville, TN · 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 ...

MDT Technical

Data Scientist

Knoxville, TN · On-site

Experience with machine learning models and predictive analytics. * Experience working in fast-paced, cross-functional environments. Knowledge, Skills and Abilities » Top Tasks: * Data Analysis:

Jersey Mike's Subs

Team Member

Knoxville, TN · On-site

$11 - $20/hr

Besides learning our business and pleasing people with our great authentic sub sandwiches, you'll ... Use specific kitchen machinery such as knives, grills, slicers, etc. * Ensure restaurant ...

Jersey Mike's Subs

Team Member

Lenoir City, TN · On-site

$11 - $15/hr

Besides learning our business and pleasing people with our great authentic sub sandwiches, you'll ... Use specific kitchen machinery such as knives, grills, slicers, etc. * Ensure restaurant ...

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Weekend Machine Learning information

What cities near Oak Ridge, TN are hiring for Weekend Machine Learning jobs? Cities near Oak Ridge, TN with the most Weekend Machine Learning job openings:
Weekend Machine Learning jobs near you
Infographic showing various Weekend Machine Learning job openings in Oak Ridge, TN as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Knoxville, TN • On-site

Full-time

Re-posted 13 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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