Senior Data Engineering Manager for Large Language Models
2 days ago
About Turing:
We are a pioneering organization in the field of generating training data for all leading large language models to advance Artificial General Intelligence (AGI). Our vision is to design systems that combine human knowledge and model capability into training data for next-generation LLMs aimed at AGI.
Role Overview
We seek an experienced Senior Data Engineering Manager to drive our LLM Products and assume a key technical leadership role in our engineering organization. This position involves influencing technical vision, architecture, and best practices for large-scale, cross-functional initiatives. You will own critical engineering challenges, lead the development of advanced tooling solutions, and mentor senior engineers to elevate team performance.
Key Responsibilities
1. **Drive Strategic Initiatives**: Own end-to-end delivery of large, complex projects, including technical design, implementation, and production rollout.
2. **Define Technical Vision**: Establish scalable system architectures and frameworks for AI tooling and data collection pipelines.
3. **Lead by Example**: Act as a technical leader, setting high standards for code quality, scalability, and security while fostering a culture of excellence.
4. **Mentor and Develop Talent**: Guide and support engineers at all levels, enabling them to grow technically and contribute effectively to the team's goals.
5. **Innovate in Data Generation**: Design advanced human and synthetic data generation pipelines to meet cutting-edge industry needs.
6. **Understand Frontier Model Needs**: Align data tooling solutions with the requirements of state-of-the-art models, including training, evaluation, and deployment.
7. **Collaborate with Stakeholders**: Engage with product users, cross-functional teams, and leadership to gather feedback, prioritize features, and iterate rapidly.
Requirements
Exceptional Candidates May Have:
1. Demonstrated leadership in delivering large-scale, high-impact engineering projects.
2. Extensive experience in cross-functional collaboration.
3. Expertise in fine-tuning and deploying large language models.
Required Skills:
1. Prototyping Expertise: Comfortable building MVPs rapidly and iterating with user feedback.
2. Tech Stack: Proficient in TypeScript, Python, React, Node.js (e.g., Nest.js), and PostgreSQL.
3. LLM Expertise: Proficient in prompt engineering and Retrieval-Augmented Generation (RAG).
4. Scalable System Design: Proven ability to build robust, scalable, secure systems optimized for performance.
Compensation Package: $150,000 - $200,000 per year, depending on location and experience.
We offer a competitive compensation package that includes a salary range between $150,000 and $200,000 per year, depending on location and experience, plus additional benefits such as health insurance, retirement plans, and paid time off.
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