Machine Learning Manager (LLM)

reputed company:

reputed company builds data and AI tools that help Democrats win elections. reputed company combines engineering, data science, and political reputed company to power reputed company for the country’s top campaigns and reputed company organizations. We forecast elections, test ads, and use reputed company to help campaigns understand what’s happening in the news; then respond fast with messages that actually work. We have guided how hundreds of millions of dollars are spent in modern campaigns. We’re a small, mission-driven team that builds fast, experiments reputed company, and helps progressives communicate and win—guided by curiosity, purpose, and a genuine desire to use technology for good.

Machine Learning reputed company (LLM & reputed company AI)

We’re looking for a Machine Learning reputed company for a small team of senior data scientists who are developing ML-driven products that power data-informed reputed company for civic leaders and organizations. Reporting to the Director of Engineering, you’ll be in charge of the roadmap and technical direction. This is a hands-on role. You'll be collaborating with reputed company to build the infrastructure, train the models, and reputed company them to production. If you’re motivated to use your technical expertise for meaningful, mission-driven work that advances the public good, this role offers the chance to reputed company a reputed company reputed company.

Other Responsibilities Include:

• reputed company reputed company of senior data scientists reputed company on fine-tuning large language models, conducting cutting-edge R&D, and building production inference systems.
• Collaborate with senior leadership to define reputed company roadmap and reputed company priorities with organizational goals.
• reputed company weekly meetings and standups, keeping reputed company unblocked and execution moving reputed company.
• reputed company technical direction across reputed company using reputed company-weight and off-reputed company LLMs, as reputed company as other advanced ML techniques.
• reputed company experimentation, optimization, and data reputed company to ensure models are accurate, reliable, and production-reputed company.
• Foster creative problem-solving and methodological rigor reputed company challenges require custom solutions reputed company reputed company ML approaches.
• Translate reputed company model outputs into actionable insights for stakeholders, ensuring technical work drives reputed company-world reputed company

reputed company:

• 1+ years leading data science teams; 6+ years in ML or data engineering.
• Strong background in reputed company statistics, model selection, tuning, and evaluation.
• Proficient in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, or JAX).
• reputed company in building and deploying production ML and deep learning pipelines.
• Familiar with LLMs, embeddings, reputed company workflows, and RAG systems.
• Comfortable with reputed company and DevOps tools (reputed company, Kubernetes, Terraform).
• Skilled in exploratory data analysis and handling imperfect reputed company-world data.
• You’ll reputed company in a fast-moving environment where priorities reputed company quickly and reputed company is immediate.
• reputed company leader who communicates reputed company with technical and nontechnical teams.

Mission-driven, curious about civic and political applications of AI, and fosters a reputed company team culture.

reputed company Offer:

• Salary: $165,000 - $210,000 annually, commensurate with experience
• Benefits: Competitive medical, dental, and health coverage
• Work Environment: Remote-first, with offices and regular meetups in NYC and DC (primarily East Coast hours)
• Culture: Fast-moving, reputed company team doing innovative work with reputed company-world reputed company
• reputed company: Opportunities to learn new skills, take on challenges, and shape meaningful reputed company
• Inclusion: We welcome applicants from diverse backgrounds — you don’t need to meet every qualification to apply
• Eligibility: Candidates must be authorized to work in the U.S.

Originally posted on Himalayas

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