Senior Research Engineer, Responsibility
About The Position
This role is for a Research Engineer focusing on a range of projects within the Responsibility portfolio at Google DeepMind. This role is crucial for fulfilling DeepMind's mission to build AI responsibly to benefit humanity. In this role you will collaborate with a team of engineers and scientists to advance responsible AI development. About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We're looking for a Research Engineer to contribute to key projects within our Responsibility portfolio. You will work within a team of research engineers and scientists, fostering a culture of innovation and collaboration. You will be responsible for designing, building, and maintaining ML systems and tools, and ensuring alignment with Google DeepMind's broader strategy for responsible AI. This role requires a blend of deep technical expertise in Machine Learning and Large Language Models, strong engineering skills, and the ability to collaborate effectively. You will work closely with research scientists, other engineers, and product managers to deliver impactful results and communicate progress effectively.
Requirements
- PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
- 3+ years of experience in a research or engineering role.
- Proven track record of contributing to complex machine learning projects.
- Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs).
- Strong programming skills, preferably in Python, and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX).
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Nice To Haves
- Master's or PhD in Computer Science, Machine Learning, or a related field.
- Experience working in AI ethics, safety, or responsibility research.
- Experience with large-scale data processing and distributed systems.
- Publications or contributions to the machine learning research community.
- Experience working in a fast-paced, research-driven environment.
- Familiarity with the sociotechnical aspects of AI systems.
Responsibilities
- Conduct high-quality research in areas related to AI safety, ethics, and responsibility.
- Design, implement, and run experiments to test new ideas and hypotheses.
- Analyze and interpret experimental results, and communicate findings to the team.
- Collaborate with cross-functional teams (e.g., Research, Engineering, Policy) to identify and address key challenges in responsible AI.
- Contribute to the development of robust and scalable ML systems and tools.
- Stay abreast of the latest advancements in AI, machine learning, LLMs, and AI ethics and safety.
- Contribute to research papers and publications.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
Ph.D. or professional degree
