Blue Rose Research is a project with OpenLabs to develop a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research undergirds short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers. Our team members have a storied history, and have worked with central players to develop strategy and direct hundreds of millions of dollars of resources over the past several electoral cycles. The work produced by the team is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of decorated engineers, PhD data scientists and political insiders who are closely connected to some of the most important decision makers in the progressive ecosystem. Our work ranges from high-dimensional Bayesian modeling to make accurate inferences from polling data to building utility-scale data and analytics infrastructure for the progressive left. Come join us!

Machine Learning Manager, LLM

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

144 days ago

Salary

$165K - $210K / year

Bachelor Degree6 yrs expEnglishCloudDockerKubernetesPythonPy TorchSQLTensorflowTerraform

Job Description

• Manage 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

Job Requirements

1+ years managing 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.