Research Engineer, Google DeepMind

• 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) is highly desirable
• 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 highly desirable
• Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial
• A passion for Artificial Intelligence
• Great communication skills and proven interpersonal skills

Desirable

• You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity
• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference
• You’ll be part of a small project team led by Research Engineers, with the potential for partnership with research scientists and significant impact in the short term, and close mentorship from Applied leadership