# Machine Learning Lead (LLM)

**Company:** [Blue Rose Research](https://hotfix.jobs/companies/blue-rose-research)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $165k – $210k/yr
**Experience:** 6+ years
**Skills:** Python, SQL, PyTorch, TensorFlow, JAX, LLMs, Embeddings, RAG, Docker, Kubernetes, Terraform
**Posted:** 2026-04-30

> Leads a team of senior data scientists developing and deploying LLM-based ML products, defining technical roadmaps, overseeing model training/inference pipelines, and translating outputs into actionable insights for civic applications. Requires 6+ years ML experience and 1+ years leading teams.

## Job Description

## Responsibilities

- Lead a team of senior data scientists focused on fine-tuning large language models, conducting cutting-edge R&D, and building production inference systems.
- Collaborate with senior leadership to define the team roadmap and align priorities with organizational goals.
- Lead weekly meetings and standups, keeping the team unblocked and execution moving forward.
- Provide technical direction across projects using open-weight and off-the-shelf LLMs, as well as other advanced ML techniques.
- Oversee experimentation, optimization, and data quality to ensure models are accurate, reliable, and production-ready.
- Foster creative problem-solving and methodological rigor when challenges require custom solutions beyond standard ML approaches.
- Translate complex model outputs into actionable insights for stakeholders, ensuring technical work drives real-world impact.

## Requirements

- 1+ years leading data science teams; 6+ years in ML or data engineering.
- Strong background in applied statistics, model selection, tuning, and evaluation.
- Proficient in **Python**, **SQL**, and modern ML frameworks (**PyTorch**, **TensorFlow**, or **JAX**).
- Experienced in building and deploying production ML and deep learning pipelines.
- Familiar with **LLMs**, **embeddings**, **agentic workflows**, and **RAG systems**.
- Comfortable with cloud and DevOps tools (**Docker**, **Kubernetes**, **Terraform**).
- Skilled in exploratory data analysis and handling imperfect real-world data.

## Compensation

- Salary: **$165,000 - $210,000** annually, commensurate with experience
- Competitive medical, dental, and health coverage

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**Apply:** https://hotfix.jobs/jobs/6836af13-b60c-4597-ad58-83f491bb2567
**Canonical:** https://hotfix.jobs/jobs/6836af13-b60c-4597-ad58-83f491bb2567