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Machine Learning Lead, LLM
Blue Rose ResearchMachine Learning Lead overseeing a team of data scientists developing ML-driven tools for political campaigns. Leading technical direction and collaborating on impactful data-informed strategies.
Tech Stack
Tools & technologiesCloudDockerKubernetesPythonPyTorchSQLTensorflowTerraform
About the role
Key responsibilities & impact- Lead a team of senior data scientists focused on fine-tuning large language models
- Collaborate with senior leadership to define the team roadmap and align priorities
- Lead weekly meetings and standups, keeping the team unblocked
- Provide technical direction across projects using open-weight and off-the-shelf LLMs
- Oversee experimentation, optimization, and data quality to ensure models are production-ready
- Foster creative problem-solving and methodological rigor to address challenges
- Translate complex model outputs into actionable insights for stakeholders
Requirements
What you’ll need- 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
- Collaborative leader who communicates clearly with technical and nontechnical teams
Benefits
Comp & perks- Competitive medical, dental, and health coverage
- Remote-first work environment with regular meetups in NYC and DC
- Opportunities to learn new skills and shape meaningful projects
- Inclusion: We welcome applicants from diverse backgrounds
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
large language modelsapplied statisticsmodel selectionmodel tuningmodel evaluationPythonSQLPyTorchTensorFlowJAX
Soft Skills
leadershipcollaborationcommunicationproblem-solvingmethodological rigor