Research Engineer

Snapshot

The ACE team focuses on enabling Gemini for advanced automation and powering innovative AI experiences across all modalities within Ads & Commerce. We tackle unique research problems motivated by real-world needs in these domains, particularly where foundational models require further refinement. Specifically, we leverage Gemini’s cutting-edge multimodal understanding and reasoning capabilities to automate complex tasks such as feature discovery in recommendation systems and creative asset generation, thereby solving crucial research challenges that close the gap in our latest foundational models.

We are a driven, collaborative, diverse team based in Mountain View that is part of the GenAI Unit. We collaborate closely with teams across Google DeepMind and Google Research, working closely on projects with our product partners and bringing together engineering teams with researchers, product managers, and program managers

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

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 close mentorship from Gen AI Unit leadership. The role offers the potential for partnership with Research Scientists and significant, short-term impact.

Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:

• Natural Language Generation and Understanding
• Multimodal Understanding
• Planning and reasoning
• Reinforcement Learning
• Agents

About You

We are seeking Research Engineers who can drive new research ideas from conception, experimentation, to productionisation in a rapidly shifting landscape. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project independently is a must.

Minimum Qualifications:

• BSc, MSc in computer science, mathematics, applied stats, machine learning with 5+ years of relevant experience
• Proven knowledge and coding experience in Python and using Tensorflow/ Pytorch/JAX framework
• Hands on experience with training (pre and / or post training) and evaluating LLMs (e.g. SFT, RLFT)
• Proven industry experience, working on projects from proof-of-concept through to implementation
• Experience in applying experimental ideas to applied problems
• Great communication skills and proven interpersonal skills

Preferred Qualifications:

• PhD/DPhil degree in computer science, mathematics, applied stats, machine learning
• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models
• Experience applying and productionizing state-of-the-art large visual, language and multimodal research
• Software engineering skills and experience working on large-scale ML projects
• Contributions to open-source projects
• Cross functional collaboration experience
• Prior experience collaborating with researchers
• Prior experience working with product teams
• Publications at top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV)

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.