Senior Manager - Data Science - Remote

Overview

We are seeking a Data Science Manager to lead our data collection efforts for Large Language Model (LLM) Training and Agentic AI initiatives. In this role, you will manage large teams of engineers and data scientists working on Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Agentic AI systems.

In Short

• Lead and manage large, cross-functional technical teams (Python developers, ML engineers, and data scientists).
• Drive execution of LLM training pipelines (SFT, RLHF, RLAIF) and Agentic AI systems.
• Ensure rigorous processes for data, code, and model quality.
• Collaborate closely with researchers and clients, ensuring technical requirements translate into successful delivery.
• Mentor and inspire teams, fostering innovation in fine-tuning, alignment, and agent-based AI workflows.

Requirements

• Proven track record managing large technical teams in AI/ML delivery environments.
• 8+ years in data science, ML, or AI engineering.
• Hands-on experience building and deploying Agentic AI systems (e.g., autonomous/interactive agents leveraging tools, APIs, multi-step reasoning).
• Hands-on expertise with LLM training and evaluation (SFT, RLHF, RLAIF).
• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.).
• Strong understanding of data quality pipelines, alignment techniques, and model evaluation.
• Exceptional people management skills with a focus on collaboration, mentoring, and performance.
• Strong client-facing and stakeholder management experience.

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity