Turing · 1 month ago
Delivery Manager - Machine Learning - US
San Francisco, California, United States
Full-time
Onsite
Senior Level, Lead/Staff
$220K/yr - $259K/yr
10+ years expTuring is a leading research accelerator for frontier AI labs and a trusted partner for global enterprises in deploying advanced AI systems. They are seeking a Delivery Manager specialized in Machine Learning to oversee the execution of complex AI projects, ensuring excellence in delivery and alignment with stakeholders.
Artificial Intelligence (AI)Generative AIInformation TechnologyMachine LearningSoftware Engineering
Responsibilities
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
Own end-to-end delivery of large-scale ML projects — from planning and training through deployment and monitoring
Translate research and product goals into executable delivery roadmaps
Identify and resolve risks, blockers, and dependencies proactively
Provide transparent reporting to senior leadership and research partners on delivery status, risks, and quality
Ensure delivery excellence in data pipelines, model development, and evaluation frameworks
Review ML architectures and promote best practices in reproducibility, experiment tracking, and model governance
Analyze performance data and error trends to improve training efficiency and output quality
Champion continuous improvement and innovation in ML delivery workflows
Partner closely with AI researchers, data infrastructure, and product teams to translate research insights into production-grade ML systems
Collaborate with engineering leaders to streamline compute usage, tooling, and resource allocation
Contribute to design discussions around distributed training, fine-tuning, and scalable ML infrastructure
Document and disseminate learnings to accelerate organizational ML maturity
Qualification
Required
10+ years of experience in engineering, program management, or AI delivery, including 2+ years in ML/LLM project leadership
Proven ability to manage large-scale delivery programs (100+ team members) across data, research, and engineering streams
Strong technical grounding in machine learning, NLP, and modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
Working knowledge of MLOps pipelines (MLflow, Kubeflow, or Vertex AI) and cloud platforms (AWS, GCP, or Azure)
Experience with data curation, training pipelines, and large-scale annotation processes
Excellent communication, stakeholder management, and risk mitigation capabilities
Demonstrated success driving ML systems from research to production under tight timelines
Preferred
Advanced degree in Computer Science, Machine Learning, or related field (PhD preferred)
Hands-on experience training or fine-tuning foundation or LLM models
Experience managing compute-heavy ML operations, including GPU scheduling and distributed model training
Understanding of Responsible AI, bias mitigation, and model interpretability
Background in gamification, performance motivation, or workforce engagement for large-scale technical teams
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
Company
Turing
Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs.
1001-5000 employees
H1B Sponsorship
Turing has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (8)
2023 (7)
2022 (16)
2021 (6)
Funding
Current Stage
Late StageTotal Funding
$270.19MKey Investors
Khazanah NasionalAltaIR CapitalWestBridge Capital
2025-03-06Series E· $111M
2021-12-07Convertible Note· $6.85M
2021-10-04Series D· $87M
Leadership Team
Jonathan Siddharth
Founder & CEO
Vijay Krishnan
Founder & CTO
Recent News
Foundation Capital
2025-12-31
2025-11-22
Company data provided by crunchbase