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Director Aws Machine Learning Jobs in Chicago, IL

Bespoke Labs

Machine Learning Engineer

Hammond, IN · On-site

... 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 ...

Until

Machine Learning Engineer / Scientist

Mundelein, IL · On-site

$140K - $240K/yr

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits * Opportunity for ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Development experience using both the AWS and GCP suite of tools. * Familiarity with SageMaker ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

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 ...

Paylocity

Manager Machine Learning Engineering

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... to Dir+ leadership. * Mentor, coach, and develop teams, fostering technical excellence ... Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) and infrastructure ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model ...

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

  • Medical

  • Retirement

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 ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.

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All JobsAws Machine Learning JobsDirector Aws Machine Learning JobsDirector Aws Machine Learning Jobs in Chicago, IL

Director Aws Machine Learning information

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$37.1K

$94.7K

$145.3K

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

As of Aug 14, 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.

How much does a director of AWS machine learning make?

A director of AWS machine learning typically earns between $150,000 and $250,000 annually, depending on experience, location, and company size. They often have advanced skills in cloud services, machine learning frameworks, and leadership, which influence compensation levels.

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:

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Director Aws Machine Learning jobs near you
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

Hammond, IN • On-site

Full-time

Re-posted 28 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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