Machine Learning Researcher

Machine Learning Researcher | San Diego, CA, United States | Hybrid | $159,100.00 - $238,700.00

This employer is a globally recognised leader in artificial intelligence research, renowned for its innovative contributions across a wide spectrum of AI fields, from generative AI to efficient on-device intelligence. They offer a unique opportunity to join a multi-disciplinary, global team that directly influences technology deployed worldwide across mobile, compute, automotive, cloud, and IoT sectors.

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 the company's 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!