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Machine Learning Engineer Two Jobs in Chicago, IL

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

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 ... 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of ...

PayPal

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and ... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and ... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127.20K - $167.90K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126.20K - $166.40K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · On-site

$117.20K - $175.80K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

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How much do machine learning engineer two jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer two in Chicago, IL is $132,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $159,700.00 per year, depending on experience, location, and employer.
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Machine Learning Engineer Two jobs near you
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Strata Decision Technology

Chicago, IL

$117K - $150K/yr

Other

Medical, Life, Retirement, PTO

Posted 7 days ago

Job description

How You'll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.

A Day in the Life

  • Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.

  • Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.

  • Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.

  • Partner with data scientists to design experiments and apply statistical concepts to real-world data.

  • Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation's leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:

  • Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC

  • Infrastructure: AWS, Snowflake, Docker, GitHub

  • Techniques & Tools:

    • Regression (with and without Bayesian priors)

    • Vector embeddings, similarity, clustering

    • Core statistics and distributions for EDA

    • Optimization methods (multi-armed bandit, mixed integer programming)

    • Causal inference and probabilistic modeling

What We're Looking For
We're seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:

  • Strong experience implementing ML models in Python.

  • Familiarity with regression, embeddings, causal inference, and optimization techniques.

  • Experience applying statistical methods to exploratory data analysis.

  • Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:

  • NLP tasks (LLMs, spaCy, neural networks).

  • Recommender systems, latent factors, matrix factorization.

  • Graph algorithms.

  • Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

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