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Machine Learning Specialist

Haystack
San Diego Metropolitan Area
Full-time
AI tools:
LLMs
Applications go directly to the hiring team

Full Description

Machine Learning | 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.

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!

Applications go to the hiring team directly