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X, The Moonshot Factory · 1 day ago

Applied ML Research Lead, NLP, Early Stage Project

Mountain View, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$248K/yr - $330K/yr

10+ years exp

X, The Moonshot Factory, is focused on inventing and launching transformative technologies. The Applied ML Research Lead will build AI systems to tackle unprecedented tasks, collaborating with cross-functional teams and managing research strategies.

AerospaceAugmented RealityAutomotiveRobotics

Responsibilities

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

Qualification

NLP applied researchMachine learning algorithmsPython programmingModel deploymentTeam managementStakeholder relationshipsCommunication skillsMentoringSelf-starter attitude

Required

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

Preferred

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