Machine Learning Specialist
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
Machine Learning Researcher | Hybrid | $159,100.00 - $238,700.00This 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.The Role• Conduct cutting-edge research in efficient generative AI, including LLMs, Multi-Modal Foundation Models, and Reinforcement Learning.• Lead high-impact research initiatives and contribute to the development of production-ready solutions.• Develop creative solutions for practical on-device deployment challenges.• Implement and evaluate solutions in 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.• Deep expertise in Generative AI, Multi-Modal Foundation models, and Reinforcement Learning.• 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 or a related field.• Experience in developing and/or optimizing machine learning models, systems, or platforms.What's On Offer• 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!