AI/ML Engineer
Nelnet
AWSBigQueryCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMongoDBNeo4jNode.jsPySparkPython+3 more
Machine Learning Manager, LLM
Blue Rose Research
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $165,000 - $210,000 per year
Job Level
Mid-LevelSenior
Tech Stack
CloudDockerKubernetesPythonPyTorchSQLTensorflowTerraform
About the role
- 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
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.
Benefits
- Competitive medical, dental, and health coverage
- Remote-first work environment, with offices and regular meetups in NYC and DC
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data science managementmachine learningapplied statisticsmodel selectionmodel tuningmodel evaluationPythonSQLPyTorchTensorFlow
Soft skills
collaborative leadershipclear communicationproblem-solvingmethodological rigor
