Delivery Leader for LLM Training - Remote

Overview

As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. This position requires managing large teams of software engineers and data scientists dedicated to performing various Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks. Your leadership will ensure the delivery of superior SFT and RLHF datasets, achieving optimal outcomes in terms of quality, throughput, and cost.

In Short

• Lead and manage large teams of Python, JavaScript, Java (and other long tail of languages) developers to execute technical tasks effectively.
• Collaborate closely with researcher clients, ensuring their satisfaction with the delivered work.
• Maintain rigorous review processes to ensure the highest quality of datasets.
• Oversee the transition of projects from initiation to stable states, taking full responsibility for delivery.
• Identify and implement measures to enhance the quality of Python/JavaScript/Java etc. code within the team.
• Ensure the team's work is of high quality, addressing any issues related to the clarity of questions, methodology, result communication, or bugs.

Requirements

• Proven experience in managing large technical teams in a delivery-oriented role.
• At least one of the following, ideally both: Python, JavaScript.
• Demonstrated ability to engage in hands-on technical work, identifying and resolving quality issues.
• Excellent leadership and people management skills, with a focus on motivating teams and fostering a collaborative work environment.
• Strong communication and stakeholder management abilities, capable of effectively collaborating with clients and internal partners.

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.