Senior Research Scientist

2 days ago

Mountain View, California, United States X: The Moonshot Factory Full time
About the Team

You'll be part of a team at X that provides cutting-edge computational support to various projects, ideas, and experiments at the Moonshot Factory. You'll collaborate with teams across X to share expert machine learning knowledge, advice, and hands-on implementation from early concept through launch and supporting prototyping, experimentation, technical development, and more.

About the Role

This is a 12-month fixed-term position with the opportunity to be placed in a project full-time. You'll learn about X and our process for creating moonshots, as well as working with projects at both early and late stages. During this process, we'll jointly identify the right project to join full-time.

Key Responsibilities
  • Design and execute experiments that are laser-focused on testable hypotheses and yield real-world impact.
  • Propose and expertly use the right tools for the job from machine learning, optimization, and statistical tools.
  • Balance trade-offs between precision of real-world learnings, robustness, simplicity, and scale.
  • Master and deploy large-scale Alphabet systems, frameworks for distributed computing, serving, and model training.
  • Engage cross-functionally with leadership, strategy, product, etc.
  • Be a thoughtful engineer on key decisions on software architecture, technology roadmap, and execution of the project.
  • See through projects from conception to finished product, and meet both technical and product needs.
  • Mentor team members and vendor members.
Requirements
  • Master's degree in Computer Science, Engineering, Math, Cognitive Science, Linguistics, or a related field, or equivalent practical experience.
  • 8 years of experience in machine learning and data science.
  • Track record of scientific contributions.
Preferred Qualifications
  • PhD in Computer Science, Engineering, Math, Cognitive Science, Linguistics, or a related field.
  • Strong publication record with work published in competitive venues (NeurIPS, ICLR, ICML, CogSci).
  • High level of expertise in machine learning.
  • High level of expertise in data science, Bayesian and frequentist statistics, and experimental design.
  • Domain expertise in language modeling, (self)(un)supervised learning.
  • Deployment expertise with LLMs, Reinforcement Learning, Sequence Learning, and Transformers.
  • Willing to work in a fast-paced, start-up-like environment; fast learner who can think through and adapt to new problems quickly.
  • Strong team player with excellent verbal and written communication skills.
Compensation

The US base salary range for this full-time position is $161,000 - $250,000 + bonus + 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.

Equal Opportunity Employer

X is an equal opportunity employer and is 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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