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2024 PhD Residency - Artificial Intelligence / Optimization (Project Tapestry)

Internship

Mountain View, CA

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

THE FOUNDATION OF AN AMAZING JOURNEY

Our goal at X is to make the world a radically better place. In order to do that we seek fresh unexpected perspectives, from different fields, and that’s why we’re excited about you.

Life here isn’t easy, but it’s fun. We’re trying to build things most people can’t even imagine, and we’re doing it with the hope of making a huge, positive impact on the world. You’ll be embedded into a moonshot project, where you’ll partner with team members to solve key challenges.

This isn’t your ordinary internship. You’ll be positively challenged and pushed professionally, in ways that you may have never experienced. If this excites you - keep reading.

TAPESTRY

We are a team working to rapidly decarbonize the electric grid. Our mission is to help create a shared understanding of what is happening on the grid for everyone who is involved in building, managing and using it. More about Tapestryhere.

DURING YOUR INTERNSHIP YOU CAN EXPECT:

• To get paid competitively and with Google benefits

• To be part of a lively community of other Interns and Residents

• To attend colloquium and discussions with team leads from across Google, DeepMind and external organizations

DETAILS:

• Laptops and equipment will be provided

• Duration: a flexible 3 months program based on project team needs and your availability

REQUIREMENTS:

• Must be currently enrolled in a PhD program and working towards completing your PhD degree

RESPONSIBILITIES:

• Model development and prediction, including data curation, training and validation

• Solving constrained optimization problems using classical techniques as well as ML

• Working closely with team mentors to monitor, diagnose and improve existing perception models

MINIMUM QUALIFICATIONS:

• Enthusiasm for learning about climate change and making an impact on decarbonizing the electric grid!

• Current PhD student with experience in applying ML on real use cases end to end (everything from data ingestion to model validation and deployment).

• Experience with modeling and prediction algorithms using classical statistical methods as well as with machine learning.

• Fluency with python and ML frameworks such as TensorFlow or Jax.

PREFERRED QUALIFICATIONS:

• Experience with power systems modeling and optimization, including current tools and techniques.

• Modeling and forecasting of electrical demand as well as generation from renewables.

• Experience developing algorithms and software for classical time-series based prediction (ARIMA and successors) as well as using machine learning (neural networks, PINN and related techniques).

The US base salary range for this full-time position is between $118,000 - $145,000 + 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 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.