Senior Staff Machine Learning Engineer
2 settimane fa
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders.
This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines , building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery .
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.
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.
Communicate progress, risks, and results to stakeholders and executives effectively.
Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
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).
Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).
Experience training or fine-tuning foundation models.
Contributions to open-source ML or LLM frameworks.
Perks of Freelancing With Turing:
Work in a fully remote environment
Opportunity to work on cutting-edge AI projects with leading LLM companies
Contractor assignment (no medical/paid leave)
Duration of contract: Two rounds of interviews (60 min technical + 60 min technical & cultural discussion)
Know amazing talent? com/referrals , and earn money from your network.
If you are interested in a software engineer role, please apply here .
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