Senior Research Scientist, ML Foundations

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

Job summary

Google LLC in New York, NY, USA is seeking a Senior Research Scientist for ML Foundations to lead and execute research initiatives spanning core ML topics and real-world applications. You will publish results, implement models in Python, and contribute to scalable system experiments with modern DL frameworks.

Responsibilities include driving research agendas, collaborating with product teams, and producing deployable insights for Google products.

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).

Responsibilities

• 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.

Skills

Publication track record

Python programming

Deep learning experience

Education

PhD in Computer Science or related field

Tools

TensorFlow

Jax

Job description

Senior Research Scientist, ML Foundations

Google New York, NY, USA

• 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

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.