X

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:

• Location: X's headquarters in Mountain View, CA
• Start Date(s): Year-round rolling basis
• Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

REQUIREMENTS:

• Must be enrolled in an academic program and working towards completing a PhD

What you should have 

• Currently enrolled in a PhD program in a quantitative and scientific discipline including Machine Learning, Statistical Genetics, Computer Science, Chemistry, Bioinformatics, Statistics, or a related topic. 
• Experience with machine learning systems, algorithms or applications such as: generative ML, deep learning, computer vision, natural language processing, unsupervised/semi-supervised learning, meta-learning, or time-series analysis.
• You are not eligible for the position if you plan to graduate or leave your academic program during the residency. 
• Experience with one or more machine learning frameworks, such as TensorFlow, JAX, or PyTorch. 
• Fluency with Python and Linux operating systems.
• Comfortable with the latest approaches in computational chemistry. 
• Ability to dedicate 100% of your time to the project for 6 months (we have a rolling application process). 
• Ability to work in person at our headquarters in Mountain View, California, for the duration of your internship. Relocation expenses are provided. 
• Perseverance, positive attitude, and a strong desire to improve the world through technology.

It’d be great if you also had these: 

• Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP) 
• Experience working with multi-modal data (text, raster, vector)
• Experience with Tensorflow Experience curating datasets for custom ML tasks