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Director Aws Machine Learning Jobs in Chicago, IL

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Development experience developing solutions within AWS, GCP or both. * Experience developing ...

Machine Learning Lead

Chicago, IL · On-site

$225 - $275/hr

The Role Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer ... Demonstrated experience building fraud models in payments, with direct exposure to the acquiring ...

Machine Learning Lead

Chicago, IL · On-site

$175 - $235/hr

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Demonstrated experience building fraud models in payments, with direct exposure to the acquiring ...

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Demonstrated experience building fraud models in payments, with direct exposure to the acquiring ...

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

AWS, Machine Learning, Cloud & Data Engineering Years Of Experience: 11 to 15 Years Role Summary & Objectives * Translate business automation and efficiency goals into scalable, production-grade AI ...

Showing results 41-60

Director Aws Machine Learning information

See Chicago, IL salary details

$37.1K

$94.7K

$145.3K

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

As of Sep 3, 2026, the average yearly pay for director aws machine learning in Chicago, IL is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,200.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Aws Machine Learning jobs in Chicago, IL?

The most popular types of Aws Machine Learning jobs in Chicago, IL are:

What job categories do people searching Director Aws Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Director Aws Machine Learning jobs in Chicago, IL are:

Infographic showing various Director Aws Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $94,704 per year, or $45.5 per hour.

Machine Learning Engineer

Bespoke Labs

Aurora, IL • On-site

Full-time

Re-posted 18 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems