Delivery Manager DS / ML - US

Delivery Manager - Machine Learning - US

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission‑critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

Delivery Manager – Machine Learning

Location : San Francisco, California, United States

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Position Overview

We are seeking a Delivery Manager (ML) with a strong background in Machine Learning, MLOps, and LLM engineering to lead and scale the execution of complex AI projects across multiple global teams. This individual will oversee the end-to-end delivery of high‑impact ML and LLM initiatives — from large‑scale data preparation and model training to deployment and performance optimization.

The ideal candidate is a strategic operator and technical leader — someone who can bridge research, engineering, and business delivery, ensuring excellence in execution, model quality, and stakeholder alignment. You will lead projects with 100+ team members , collaborate with AI researchers, ML engineers, and product leads, and drive innovation in tooling, automation, and process optimization.

Primary Responsibilities

1. Team Leadership and Execution

• Lead and manage large, cross‑functional ML delivery teams (ML engineers, data scientists, MLOps, and annotators).
• Build scalable organizational structures and delivery mechanisms to support multiple concurrent ML / LLM programs.
• Define clear KPIs, quality goals, and success metrics for every project stage.
• Drive a culture of ownership, learning, and technical excellence through coaching, recognition, and gamified performance systems.

2. Project Management and Coordination

3. Technical Oversight and ML Quality

4. Cross-Functional and Research Collaboration

Required Skills & Qualifications

Preferred Skills & Qualifications

Why Join

Compensation (in USD)

OTE

Emerging : 220,000 Target - 259,000 + RSUs

Values :

Advantages of joining Turing :

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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