Head of Machine Learning

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Global Talent Acquisition / Head Hunting Specialist

Head of Machine Learning – Foundation Models & LLMs

Series A underway | Building the future of applied AI research

We’re hiring a Head of Machine Learning to lead a cutting-edge ML research & delivery function at a high-growth AI startup. Reporting directly to the Founder , this is a rare opportunity to own the research agenda, build a world-class team, and work with global enterprise clients—all while shaping the future of LLMs and foundation models.

This role sits at the intersection of deep AI research and real-world impact . You’ll define the strategy, ship research to production, and represent the company in front of investors and clients.

About the Company

Our mission is to help AI teams worldwide model with pristine data—at scale and with speed.

Your models are only as good as the data, and the data is only as good as the humans behind it. We push the boundaries of advanced models in reasoning, agentic capabilities, STEM, coding, multimodality , and many other use cases for leading companies, including Google and Snowflake.

Our proprietary Human + AI vetting process, combined with our comprehensive Delivery + Quality playbook , enables us to deploy top experts from our talent pool of over 500,000 specialists across more than 25 domains, ensuring pristine quality in our deliverables.

What You’ll Do

• Define and lead the ML and research roadmap for foundation models, LLMs, and reinforcement learning pipelines
• Spearhead applied research and experimentation across domains like NLP, CV, RLHF, and fine-tuning
• Lead a high-performance team of ML researchers and engineers
• Deep expertise in large language models, foundation models, and reinforcement learning
• Proven track record in pre/post-training, RLHF , and scaling model deployment
• Research and/or applied work experience at top-tier AI companies, labs, or unicorns
• Academic pedigree: IIT/NIT or PhD/MS from global elite universities like Stanford, Berkeley, CMU, etc.
• Balanced mindset: scientific rigor + delivery focus
• Excellent communication skills with the ability to engage technical and non-technical stakeholders
• Report directly to the Founder and shape the core ML strategy
• Be part of a company on the brink of a major funding milestone
• Exposure to clients, investors, and global R&D partnerships

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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