About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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)
More about this role
- 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.
- 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).
- 1 year of experience owning and initiating research agendas.
- Experience with reinforcement learning research and applications.
- Experience in deep learning and distributed training.
-...
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