Research Engineer, Astra, DeepMind

Requirements:

• Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 2 years of experience conducting research or engineering systems.
• 2 years of experience building in Python.
• 2 years of experience with agentic AI workflows, frameworks, and approaches.

Nice to haves:

• Master's degree or PhD in Computer Science, Machine Learning, or a related field.
• Experience with data collection, model fine-tuning, and evaluation.
• Experience with inference optimization techniques or extensive prompt tuning.
• Track record of publication at leading conferences on the topic of agentic AI and multimodal LLMs.

What you'll be doing:

• Contribute to building a full-stack Universal Assistant prototype across key workstreams, including agent infrastructure, multi-agent systems, and full-stack integration.
• Guide model inference, optimization, fine-tuning, and evaluation to improve system capabilities and reliability.
• Support data workflows through synthetic data generation and prompt optimizations.
• Collaborate with partner teams across DeepMind, including the Gemini and Gemini App teams, to integrate and evaluate new agentic capabilities.

Perks and benefits:

• Global opportunities for diverse learning experiences.
• Varied career pathways for driven individuals.