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2020-03-03T10:19:06-05:00 X, The Moonshot Factory
Lead Research Scientist, Early Stage Project, X

Software Engineering

Mountain View, CA


An early stage project at X is looking for Research Scientists motivated by a desire to make a difference in the world, and apply their expertise to specific problems this team is trying to solve. Research Scientists at X work closely with Hardware and Software Engineers to discover, invent, solve and prototype. From devising experiments and prototyping implementations to designing new learning algorithms, Research Scientists work on challenges in machine perception and machine learning.

You will help integrate edge and novel research research into applied projects within this early stage team. You will have the opportunity to impact data-driven decisions on this team ranging from early explorations to more mature pre-product workstreams. X has resources, problems and data impossible to find elsewhere and maintains connections both with academic institutions and other research teams inside Alphabet.


  • Lead a team of data scientists, research scientists and data engineers
  • Participate in cutting edge research in machine intelligence and machine learning applications.
  • Develop data-driven solutions for real world problems, specific to this early pipeline program.
  • Develop & oversee ML/AI solutions for prototype sensors and hardware. 
  • Provide research input on X early explorations: determine the scope of the problem, the best use of ML, and the merits of different approaches.
  • Provide guidance on data needs (size, type, variability). 
  • Integrating latest research into applied projects.
  • Collaborate with Software and Hardware Engineers to design and run experiments.
  • Designing new and critically evaluating known algorithms.
  • Be X’s link to the broader research and  academic community and to Alphabet’s other research groups.

Minimum Qualifications

  • PhD in Computer Science, Electrical Engineering, Neuroscience  or related technical field.
  • Experience in Machine Learning, Optimization, Machine Intelligence (Artificial Intelligence), Signal Processing or Biosignal Processing (preferred)
  • Programming experience in one or more of the following: Python (preferred), R or Matlab/Octave
  • Research contributions, including publishing papers in machine learning venues (e.g: NeurIPS, ICML, JMLR, PAMI, ICLR, ICASSP)

Preferred Qualifications

  • Relevant work experience in biosignal acquisition and sensor fusion (full time industry experience or researcher in academia)
  • Strong publication record.
  • Projects of interdisciplinary nature.
  • Experience with ML pipelines, experiments and system evaluation.
  • Programming experience with TensorFlow or similar Machine Learning/Deep Learning frameworks. 
  • Ability to design and execute on research agenda.
  • Ability to work in small teams, under ambiguity and with limited supervision. 

About X, the moonshot factory

X creates radical new technologies to solve some of the world’s biggest problems. We develop uncomfortably ambitious, potentially world-changing new ideas such as self-driving cars, balloon-powered Internet and smart contact lenses. We’re a team of makers, entrepreneurs, engineers, designers and scientists with deep technical expertise who love the challenge of the seemingly impossible. We believe that a culture of psychological safety creates the foundation of trust and respect necessary to build moonshots. X was formerly known as Google[x] and is part of Alphabet.

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.

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Thank you for applying to X, the moonshot factory!

Your application has been received. We appreciate your interest in the open roles at X. Our team will review your materials and if there is a fit, a member of our team will contact you with more information.