Senior ML Foundations Research Scientist

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

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.