Senior Applied Ml Research Engineer, X’s Moonshot For Specialized Professional Intelligence

X9

Mountain View, California, US
Base: $165,000 - $238,000; bonus/equity: bonus + e...
On-site (3 days per week in mountain view, ca)
Applied research and high-performance ml implementation
Mlops and productionization
Sophisticated model prompting
X9 is seeking a Senior Applied ML Research Engineer to join their team focused on developing innovative AI solutions for specialized professionals. The role requires strong engineering skills in machine learning, particularly in NLP, and emphasizes collaboration within cross-functional teams. The position offers a competitive salary and benefits while working in a dynamic environment aimed at making a significant impact on the world

Job Summary

  • 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 moonshot is to radically transform how highly skilled professionals like lawyers, medical professionals or finance experts interact with information so they can harness AI’s productivity gains.
  • As a Senior Applied Research Engineer, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance.

Matching Summary

Match Score: 85

X9 is seeking a Senior Applied ML Research Engineer to join their team focused on developing innovative AI solutions for specialized professionals. The role requires strong engineering skills in machine learning, particularly in NLP, and emphasizes collaboration within cross-functional teams. The position offers a competitive salary and benefits while working in a dynamic environment aimed at making a significant impact on the world.

Salary

Base: $165,000 - $238,000; Bonus/Equity: bonus + equity; Benefits: benefits

Skills & Requirements

Must-have

  • Applied research and high-performance ML implementation
  • MLOps and productionization
  • Sophisticated model prompting
  • Fine-tuning or applying RL to LLMs
  • Python and software engineering best practices

Nice-to-have

  • Deep interest in AI transformative effects
  • Startup experience iterating fast
  • Passion for delighting users
  • Building AI for specific industries

Key Requirements

  • MSc or PhD degree
  • 6+ years experience in NLP applied research
  • Track record of delivering multi-quarter projects
  • Experience translating research to production systems
  • Proficiency in MLOps
  • Strong proficiency in Python
  • Achieved strong results with model prompting, fine-tuning, or RL

Work Rights

Not specified

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