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Associate Full Stack Machine Learning Engineer Jobs in Brandon, MS

Bespoke Labs

Machine Learning Engineer

Jackson, MS · 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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Jackson, MS · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Jackson, MS · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Beth Page tech

.NET Full Stack Developer

Jackson, MS · On-site

Title: .NET Full Stack Developer Location: Onsite in Jackson, MS Duration: 3 Years Contract Key Skills: * 6+ years of experience in ASP.net * 6+ years of experience in C#. * 6+ years of experience in ...

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All JobsAssociate Full Stack Machine Learning Engineer JobsAssociate Full Stack Machine Learning Engineer Jobs in Brandon, MS

Associate Full Stack Machine Learning Engineer information

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$43K

$130.1K

$184K

How much do associate full stack machine learning engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for associate full stack machine learning engineer in Brandon, MS is $130,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $152,600.00 per year, depending on experience, location, and employer.
Associate Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Jackson, MS • On-site

Full-time

Posted 24 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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