Research Engineer, Workspace Mountain View, California, US

Deepmind Technologies • Mountain View, CA

408d • $136,000 - $245,000

About The Position

The Research Engineer position at Google DeepMind involves applying advanced machine learning models to real-world problems, collaborating with various teams across Google/Alphabet. The role emphasizes rapid prototyping, designing experiments, and understanding the transition from research to production, with a focus on impactful projects in areas such as Natural Language Generation, Reinforcement Learning, and more.

Requirements

• BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry.
• Proven knowledge and experience of Python or C++.
• Knowledge of machine learning and statistics.
• Knowledge of algorithm design.
• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX).
• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models.
• Experience fine-tuning large models (e.g. supervised, RLHF).
• Experience applying and productionizing state-of-the-art large visual, language and multimodal research.
• Software Engineering experience and experience working on large-scale ML projects.
• Proven experience working in industry, working on projects from proof-of-concept through to implementation.
• A passion for Artificial Intelligence.
• Great communication skills and proven interpersonal skills.

Nice To Haves

• Experience in applying experimental ideas to applied problems.
• Cross functional collaboration experience.
• Prior experience collaborating with researchers.
• Prior experience working with product teams.

Responsibilities

• Apply promising models and research to high-impact real-world problems.
• Rapid-prototype initial concepts and design experiments to evaluate opportunities.
• Collaborate with a small project team led by Research Engineers.
• Work closely with research scientists and product teams to implement solutions.
• Gain understanding of the path from research to production.

Benefits

• Enhanced maternity, paternity, adoption, and shared parental leave.
• Private medical and dental insurance for employees and dependents.
• Flexible working options.
• Excellent facilities including healthy food, on-site gym, faith rooms, and terraces.
• Relocation support and immigration assistance for candidates moving to Mountain View.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree