Applied ML Research Lead, Early Stage Project

Key Skills

Aartificial intelligence, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

As an Applied Research Engineering Lead, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (e.g. designing, implementing, and improving models achieving specific tasks), writing bug-free machine learning code, and building the science behind the algorithms employed.

How you will make 10X Impact:

• Act like an owner; be fearless in diving deep, asking questions, proposing solutions, establishing consensus and then making things happen.
• Work effectively with cross-functional teams of engineers, product managers, and domain experts
• Provide direction and focus in areas of high ambiguity
• Enjoy mentoring others and helping the team grow
• Become familiar with the team’s technical stack enough to make targeted contributions and move fast in the work of experimentation
• Manage day-to-day execution of our research strategies
• Prioritize the team’s work and manage projects to support fast iteration on research projects and runs

What you should have:

• MSc or PhD degree in computer science, mathematics, applied stats, machine learning
• 10+ years experience in NLP applied research and high-performance implementations of machine learning algorithms and productionization
• 4+ years of management experience in a research or technical environment, setting the pace of development
• Track record in developing team culture, growing people and conducting applied research in NLP/LLMs
• Deeply interested in the potential transformative effects of advanced AI systems and committed to ensuring their safe development
• Excel at building strong relationships with stakeholders at all levels
• Demonstrated ability to write high-quality, maintainable code in Python (or equivalent languages) using sound software engineering principles
• Achieved strong results with sophisticated model prompting, and with (at least one of) fine-tuning or applying RL to large language models
• Independent, mission-driven, self-starter attitude
• Excellent written and verbal communication skills, e.g. design docs, PR descriptions
• Ability to work in the Mountain View office at least 3 days per week to interface with researchers and engineering

It’d be great if you had these:

• Exposure to production systems that rely heavily on ML models, and/or experience with model deployment
• Startup experience iterating fast and explore multiple strategies to optimize performance
• Passion for delighting users, but also extracting energy from both good and difficult feedback
• Significant success with building AI software and systems for specific industries, either as research publications at top PL or ML venues, or as open source artifact(s)
• Consistent track record of delivering high quality solutions to large, complex software problems

The US base salary range for this full-time position is $248,000 - $330,000 + bonus + equity + benefits. 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 bonus, equity, or benefits.

An Equal Opportunity Workplace

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.