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Weekend Machine Learning Jobs in Naperville, IL (NOW HIRING)

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

... on weekends to figure it out * If there's something interesting to learn or solve, it doesn't ... Equipment and learning budget to help you do your best work and keep up with the frontier

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

... on weekends to figure it out * If there's something interesting to learn or solve, it doesn't ... Equipment and learning budget to help you do your best work and keep up with the frontier

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Apply machine learning, statistical modeling, and causal inference to generate insights and measurable business value * Conduct exploratory data analysis, data mining, and data preparation across ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions * Use the most effective ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You willbe responsible forcreating reliable, scalable, and high-quality data systems that enable downstream ML ...

Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions * Use the most effective ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term W2 Job Summary: We are seeking a highly motivated and adaptable AI ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions * Use the most effective ...

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real‑time insights into customers, parts, and markets. The Data Scientist will ...

Showing results 41-60

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Infographic showing various Weekend Machine Learning job openings in Naperville, IL as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer (LLMs)

Albi

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 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