Machine Learning Engineer, Tapestry

Software Engineering

Mountain View, CA

About the team:

Tapestry, isX’s moonshot for the electric grid. We are a team of software engineers, power systems experts and clean energy geeks who are impatient to tackle climate change head on through our energy system. Tapestry is on a mission to make the world’s electric grid visible so everyone, everywhere can access clean, affordable and reliable energy. We are working with partners around the world to create AI powered tools that will help everyone who works with the grid build and manage a carbon-free and secure electricity system.

Currently incubating at X, Alphabet’s innovation lab, we are now building the team that will scale Tapestry for more global impact. We are looking for people who are passionate about revolutionizing the energy sector to join us at this critical growth stage. You’ll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company, while building on world-class technology created at Alphabet. Learn more aboutTapestry here.

About the role:

As an applied ML and data pipelines software engineer, you will own end-to-end development of breakthrough technologies that rely heavily on machine learning. You will work with amazing and talented people, who work on highly creative and ambitious efforts. You will work closely with other software engineers, machine learning experts, domain experts, and product managers to plan, coordinate, and integrate your work.

How you will make 10X Impact:

+ 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

What you should have:

+ Bachelors/Masters in Computer Science, or equivalent practical experience

+ Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with 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

It’d be great if you had these:

+ 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

The US base salary range for this full-time position is $160,000 - $220,000 + bonuses + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are 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.

If you have a disability or special need that requires accommodation, please contact us at:x-accommodation-request@x.team.