Research Lead

Summary

Join Turing, a rapidly growing AI company, as a Research Lead to spearhead the execution of LLM training projects using SFT, RLHF, and RLEF. Lead a cross-functional team, ensuring high-quality data and model improvements. Serve as the senior researcher accountable for client alignment, throughput, quality, and operational efficiency across multiple programming languages. A key responsibility involves leading the most important code workstream and providing support and guidance to other code teams. The ideal candidate is a strong communicator with experience in large technical organizations, deeply understanding LLM researchers' thinking and translating their instructions into actionable workflows. The role requires initiative, client obsession, and a continuous improvement mindset.

Requirements

• 4+ years of experience as a Researcher or similar role within a technical or data-driven environment at a large company
• PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• Experience working closely with LLM researchers and familiarity with how they think, communicate, structure projects, and measure success
• Demonstrated success in translating ambiguous or high-level research directions into actionable plans for engineering and delivery teams
• Proven ability to translate research ambiguity into clear tactical execution plans
• Strong background leading technical delivery efforts and code-heavy teams
• Effective communicator, both in async and live settings, across technical and non-technical audiences
• Working knowledge of Python and/or JavaScript to effectively engage with Engineering Managers and assess code-level output quality
• Exceptional communication and documentation skills - comfortable leading async and live updates across technical and non-technical audiences
• Strong decision-making, prioritization, and conflict-resolution abilities in dynamic, high-stakes environments

Responsibilities

• Act as the strategic point of contact for clients - gathering requirements, aligning on quality expectations, and managing quality feedback loops
• Proactively flag risks and drive resolution to ensure uninterrupted, high-quality delivery
• Work closely with LLM researchers to deeply understand their thinking styles and objectives
• Translate ambiguous or loosely defined research goals into clear, executable tasks for technical teams
• Proactively flag risks and drive resolution to ensure uninterrupted, high-quality delivery
• Ensure clarity, accuracy, and completeness in outputs: code, responses, explanations, and evaluations
• Work closely with team leads and Client Researchers to implement quality review loops and resolve systemic quality gaps
• Identify inefficiencies and continuously optimize workflows and operational structure
• Ensure all output meets the highest standards expected by AI researchers and clients
• Ensure technical soundness, review compliance, and strategic alignment across delivery streams

Preferred Qualifications

• Background in Machine Learning or Data Science is a plus
• Familiarity with LLM concepts, training cycles, or evaluation methods (e.g., RLHF, SFT, RAG)
• Hands-on experience with LLM APIs (GPT, Gemini, Claude, etc.) and RAG workflows

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