ML Engineer

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!