Turing · 8 hours ago
Senior Staff Engineer (Machine Learning) - 45391
United States
Contract
Remote
Senior Level, Lead/StaffTuring is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. They are seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams in building and deploying cutting-edge LLM and ML systems while mentoring top engineers and ensuring the delivery of reliable, high-performance AI initiatives.
Artificial Intelligence (AI)Generative AIInformation TechnologyMachine LearningSoftware Engineering
Responsibilities
Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively
Overlap of 6 hours with PST time zone is mandatory
Qualification
Required
Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
Hands-on experience in Docker for Production deployment
Proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor's or Master's in Computer Science, Engineering, or related field (PhD preferred)
Preferred
Experience building Agentic applications
Experience training or fine-tuning foundation models
Contributions to open-source ML or LLM frameworks
Understanding of Responsible AI, bias mitigation, and model interpretability
Benefits
Work in a fully remote environment
Opportunity to work on cutting-edge AI projects with leading LLM companies
Company
Turing
Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs.
Founded in 2018
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