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Senior Meta Machine Learning Jobs in Chicago, IL

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Design, implement, and optimize advanced machine learning and optimization models to address ...

Elevance Health

Research Scientist Senior

Chicago, IL · On-site +1

$101K - $129K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Elevance Health

Research Scientist Senior

Chicago, IL · On-site +1

$101K - $129K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

They are seeking a Senior Data Scientist to develop software for data acquisition, analyze datasets, and build machine learning models while collaborating with various teams and stakeholders.

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Chicago, IL

Senior Meta Machine Learning information

See Chicago, IL salary details

$25.8K

$82.7K

$168.4K

How much do senior meta machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior meta machine learning in Chicago, IL is $82,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $106,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

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

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

What are popular job titles related to Senior Meta Machine Learning jobs in Chicago, IL?

For Senior Meta Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

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

The top searched job categories for Senior Meta Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Senior Meta Machine Learning jobs?

Cities near Chicago, IL with the most Senior Meta Machine Learning job openings:

Senior Meta Machine Learning jobs near you

Senior Machine Learning Engineer (LLMs)

Albi

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

We’re building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs. This is not a “prompt engineer” role. You’ll design, train, and ship domain-specific language models that automate real workflows and move real revenue.

You will:

  • Own end‑to‑end LLM systems: architecture, training, evals, and iteration
  • Fine‑tune and extend existing models (LoRA, instruction tuning, RLHF)
  • Build and maintain data pipelines from product databases, documents, APIs, and logs
  • Ship reliable, monitored, production models with clear guardrails
  • Collaborate closely with product and engineering to turn messy real‑world problems into working systems
  • Build and coordinate the AI engineering team
  • Use Claude Code as a core tool for development, refactors, tests, and experiments

This is for you if:

  • “How does this actually work under the hood?” is your default question
  • You’re fine sitting with a hard problem for days and reading papers on weekends to figure it out
  • If there’s something interesting to learn or solve, it doesn’t matter if it’s Saturday or 1 a.m., you’re in
  • You build side projects nobody asked for and write cleaner code than anyone requires
  • You’re quietly competitive, self‑taught in at least one major skill, and think in systems
  • You’re slightly allergic to meetings without a clear purpose or owner

Requirements

  • 5+ years of real world experience in ML / AI engineering
  • Proven experience training or substantially contributing to training LLMs (not just calling APIs)
  • Deep understanding of transformers, attention, and training dynamics
  • Strong Python plus PyTorch or JAX
  • Experience with large‑scale data pipelines and experiment tracking
  • Hands‑on fine‑tuning (LoRA, instruction / SFT, RLHF or similar)
  • Comfortable using Claude Code as part of your daily workflow
  • Able to explain complex systems simply to non‑technical stakeholders and go deep with experts
  • Track record of owning projects end‑to‑end and mentoring other engineers

Nice to have:

  • Distributed training (FSDP, DeepSpeed, Megatron, etc.)
  • Inference optimization (quantization, speculative decoding, vLLM, Triton)
  • Experience shipping LLM features in production SaaS
  • Open‑source contributions or published work or patents in ML / NLP
  • Microsoft Foundry experience

Benefits

  • Competitive salary (based on experience and location)
  • Generous PTO
  • Medical, dental, and vision coverage
  • 401(k) plan
  • High ownership and autonomy over your work
  • Direct collaboration with a small team of smart, kind, motivated engineers
  • An environment that values deep work, clear thinking, and real impact
  • Regular team events and off‑sites
  • Equipment and learning budget to help you do your best work and keep up with the frontier