Senior Research Scientist, ML Foundations

Google; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Research Scientist to lead large-scale ML research efforts, publish findings, and translate breakthroughs into real-world products. You will prototype new architectures, run experiments, and collaborate with partner teams to improve Google’s driving simulation and related systems.

The role emphasizes publishing in top ML venues, contributing to the broader research community, and delivering impactful research that informs product improvements across Google platforms.

Qualifications

• PhD in Computer Science, AI or ML, or equivalent practical experience.
• 2 years of ML research experience with publications at ML conferences (ICML, NeurIPS, ICLR).
• Experience with ML algorithm and model implementation in Python.

Responsibilities

• Conduct research in machine learning and develop algorithm prototypes for evaluation on benchmarks.
• Communicate findings through publications, reports, and presentations to internal and external stakeholders.
• Develop and productionize robust simulation learning approaches to improve driving simulation models.
• Collaborate with other product areas to translate research into product improvements.

Skills

ML research

Publications

Education

PhD in CS/AI/ML

Tools

Python

TensorFlow

JAX

Job description

• PhD in Computer Science, Artificial Intelligence, Machine Learning, a related field, or equivalent practical experience.
• 2 years of experience with research in machine learning or a related field, with publications at ML conferences (e.g., ICML, NeurIPS, ICLR)
• Experience with ML algorithm and model implementation in Python.
• Experience with deep learning frameworks (TensorFlow, Jax or others).

Minimum qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, a related field, or equivalent practical experience.
• 2 years of experience with research in machine learning or a related field, with publications at ML conferences (e.g., ICML, NeurIPS, ICLR)
• Experience with ML algorithm and model implementation in Python.
• Experience with deep learning frameworks (TensorFlow, Jax or others).

Preferred qualifications

• 1 year of experience owning and initiating research agendas.
• Experience with reinforcement learning research and applications.
• Experience in deep learning and distributed training.
• Track record of developing ML solutions for real world problems.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Conduct research in Machine learning, e.g., derive theoretical insights, develop alogrithm prototypes and evaluate them on academic and internal benchmarks.
• Communicate research findings with the external community through publications at top ML venues and internal stakeholders through tech reports and presentations.
• Develop approaches for more robust simulator learning and productionize them to improve driving simulation models for Waymo.
• Partner with Waymo, and other Product Areas, to turn insights from algorithmic research and proof-of-concept implementations into product improvements.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.