Machine Learning Engineer, Project Tapestry (Fixed Term)

$160,000 - $220,000/Yr

Google - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

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About the position

The Machine Learning Engineer for Project Tapestry is a fixed-term role focused on developing innovative technologies that leverage machine learning to enhance the electric grid. This position involves collaborating with a diverse team of software engineers, power systems experts, and product managers to create AI-powered tools aimed at making clean, affordable, and reliable energy accessible globally. The role emphasizes end-to-end development of machine learning applications and data pipelines, contributing to the mission of decarbonizing the energy sector.

Responsibilities

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid.
• Explore and de-risk novel technologies to extract data from unlikely sources.
• Lead the design and implementation of ML data platforms and service frameworks.
• Design and implement robust, automated, production-level software using horizontally scalable components.
• Work effectively with cross-functional teams of engineers, product managers, and domain experts.
• Provide direction and focus in areas of high ambiguity.

Requirements

• Bachelors/Masters in Computer Science, or equivalent practical experience.
• Experience applying machine learning for time-series forecasting; will also consider DL experience on computer vision and image processing, geospatial data, graph data.
• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience.
• 3 years of experience with Python, Golang, or other equivalent languages.
• Excellent written and verbal communication skills.
• A passion for decarbonizing the electric grid.

Nice-to-haves

• 2 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
• Experience with building data pipelines (e.g. Beam, Dataflow, Flink, Hadoop, Spark).
• Prior experience in ML modeling using TensorFlow, Pytorch or Jax/Flax.
• Consistent track record of delivering high quality solutions to large, complex software problems.
• Prior experience with setting the technical direction for small groups of engineers.
• Experience working in a start-up like environments.

Benefits

• Base salary range of $160,000 - $220,000 + bonuses + benefits.
• Equal opportunity workplace with affirmative action policies.
• Support for employees with disabilities or special needs.