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Internship Aws Machine Learning Jobs in Lawrence, MA

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly ...

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly ...

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...

Showing results 21-40

Internship Aws Machine Learning information

See Lawrence, MA salary details

$26.8K

$44.7K

$92.3K

How much do internship aws machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for internship aws machine learning in Lawrence, MA is $44,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,300.00 per year, depending on experience, location, and employer.

What cities near Lawrence, MA are hiring for Internship Aws Machine Learning jobs?

Cities near Lawrence, MA with the most Internship Aws Machine Learning job openings:

Infographic showing various Internship Aws Machine Learning job openings in Lawrence, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,676 per year, or $21.5 per hour.

Machine Learning Engineer

Bespoke Labs

Derry, NH • On-site

Full-time

Re-posted yesterday


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