ML Engineer

About the role

We're hiring on behalf of a Haystack partner!

The Role

Conduct cutting-edge research in efficient generative AI, including LLMs, Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI, and Autonomy.

Lead high-impact research initiatives and contribute to the development of production-ready solutions with real-world commercial impact.

Develop creative solutions that address practical challenges for on-device deployment.

Implement and evaluate solutions in both simulation and on-device environments.

Publish research findings in top-tier AI/ML conferences.

Contribute to strategic goals in efficient AI and embedded intelligence.

What You'll Need

Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).

Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning, Reinforcement Learning, and Agentic AI.

Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.

A Master's degree and 2+ years of related work experience, or a PhD in Computer Science, Electrical Engineering, or a related field.

Experience in developing and/or optimizing machine learning models, systems, platforms, or methods.

What's On Offer

The opportunity to be part of a globally recognized AI research organization.

Engage in impactful projects with significant real-world deployment.

Collaborate with top researchers within a global network.

Thrive in an inclusive and innovation-driven work environment.

Competitive salary, annual discretionary bonus program, and opportunity for RSU grants.

Apply via Haystack today!