Strategic Project Lead - Data Science - US

Turing • San Francisco, CA

16d • Onsite

About The Position

Turing is seeking an accomplished Delivery Manager – Data Science to lead large-scale LLM training and Agentic AI programs , driving the successful delivery of mission-critical datasets, fine-tuning workflows, and model alignment initiatives. In this role, you will oversee multiple cross-functional teams of data scientists, ML engineers, and data professionals engaged in Supervised Fine-Tuning (SFT) , Reinforcement Learning from Human Feedback (RLHF) , and Agentic AI system development . You’ll ensure the delivery of world-class training data, reproducible pipelines, and scalable experimentation frameworks that directly support frontier AI research and enterprise-grade AI deployments. This is a high-impact leadership role at the intersection of technical depth, delivery excellence, and strategic alignment — ideal for someone who combines expertise in LLMs with operational mastery of large-scale AI execution.

Requirements

• 10+ years of experience in data science, AI/ML, or related engineering leadership roles .
• Proven success managing large-scale AI delivery programs (100+ members) across multiple workstreams.
• Deep expertise in LLM training methodologies (SFT, RLHF, RLAIF) and Agentic AI systems .
• Strong proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex .
• Advanced understanding of data pipelines, annotation processes, and quality metrics .
• Excellent client-facing communication, stakeholder management, and cross-functional collaboration .
• Demonstrated ability to balance technical depth with operational leadership and business impact.

Nice To Haves

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, or AI-related field .
• Experience delivering LLM and Agentic AI projects in production or research settings.
• Knowledge of Responsible AI , fairness, and model interpretability practices.
• Familiarity with project gamification, motivation frameworks , or workforce optimization at scale.
• Experience working in fast-paced AI research or product organizations .

Responsibilities

• Team and Delivery Leadership Lead large, distributed teams of data scientists, ML engineers, and Python developers delivering high-quality AI datasets and models.
• Scale and operationalize data science workflows for SFT, RLHF, and RLAIF pipelines .
• Define and manage project goals, timelines, and quality benchmarks for multiple concurrent programs.
• Drive team performance, engagement, and innovation , fostering a culture of technical excellence and accountability.
• Program and Stakeholder Management Oversee end-to-end delivery of complex AI/ML initiatives, ensuring client goals are achieved on schedule and within scope.
• Partner with internal research and product leaders to translate technical requirements into actionable execution plans.
• Manage dependencies across annotation, model training, and evaluation streams, mitigating risks proactively.
• Deliver clear and consistent program reporting , highlighting key metrics, challenges, and insights.
• Technical Oversight and Data Quality Ensure rigorous standards for data, model, and process quality throughout the lifecycle.
• Oversee data collection and benchmarking for LLM alignment and evaluation .
• Leverage analytics to identify model performance gaps, biases, and optimization opportunities .
• Champion reproducible experimentation, responsible AI practices, and scalable infrastructure design.
• Research Collaboration and Innovation Collaborate closely with AI researchers and infrastructure teams to refine model training methodologies.
• Drive continuous improvement in data quality pipelines, annotation frameworks, and feedback loops.
• Support the development of Agentic AI systems , enabling autonomous agents that learn from human and tool-based feedback.
• Document and disseminate best practices to accelerate team learning and institutional knowledge.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1,001-5,000 employees