2023 PhD Residency - Machine Learning / Computer Vision

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.

DURING YOUR INTERNSHIP YOU CAN EXPECT:

• To be placed on one of our confidential or public X projects
• To get paid competitively and with Google benefits
• To be part of a lively community of other Interns and Residents
• To addend 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 to 6 months program based on project team needs and your availability

REQUIREMENTS:

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

RESPONSIBILITIES:

• Work closely with a team of passionate individuals to help build world class machine learning, computer vision and robotics solutions to revolutionize the power grid, energy production, distribution, integration of renewable energy sources towards a carbon neutral, sustainable world.
  • Understanding the project’s challenges
  • Suggesting a number of ways in which ML/CV can apply to those challenges
  • Establishing training frameworks / pipelines.
  • Generating ideas and hypotheses, prototyping solutions
  • Work closely with team members to implement solutions
• Learning Moonshot thinking, attending colloquium and tech talks.
• Explore an exciting world, achieve great outcomes and have fun doing it!

MINIMUM QUALIFICATIONS:

• Currently enrolled in a PhD program in a STEM field.
• Solid Computer Science background.
• Experience with one or more general purpose programming languages, including but not limited to: C , Python
• Experience with machine learning systems, frameworks, algorithms or applications such as: computer vision, machine learning, information retrieval, data mining, time-series analysis, deep learning, robotics, optimization, on-device learning, signal processing.
• Curiosity, open mindedness, passion, growth mindset, teamwork, goal-oriented.

PREFERRED QUALIFICATIONS:

• Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP)
• Solid understanding of math, statistics, probabilities.

The US base salary range for this full-time position is between $106,000 - $141,000 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.