# Senior Machine Learning Engineer (LLMs)

> Albi · Chicago, United States (Hybrid) · Full-time · Posted 2026-03-09

**Salary:** USD 150,000–250,000

**Workplace:** hybrid

**Department:** Engineering

## 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

## Apply

[Apply at Albi](https://apply.workable.com/albi/j/E92B694CFE/apply)

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