Senior Applied Scientist, Ai/ml

LINKEDIN

Mountain View, CA, United States
Base: $139,000.00 to $229,000.00; bonus/equity: an...
Hybrid
Methodological innovation at scale
Scalable production-ready solutions
Leading methodological research
LinkedIn is seeking a Senior Applied Scientist in AI/ML to advance its AI-powered systems by leading research in methodologies such as prediction, measurement, and optimization. Ideal candidates will have a strong quantitative background, experience with large-scale ML systems, and a collaborative mindset to drive impactful solutions across LinkedIn’s products. The role offers competitive compensation and a culture focused on employee well-being and inclusion

Job Summary

  • Applied Science teams at LinkedIn empower the company’s products and businesses by driving impact through methodological innovation at scale.
  • As a Senior Applied Scientist, you will play a critical role in advancing LinkedIn’s next generation of AI-powered systems by leading methodological research in areas such as prediction, measurement, and optimization, and transforming research into scalable, production-grade models, tools and platforms.
  • LinkedIn is committed to fair and equitable compensation practices, offering a pay range of $139,000.00 to $229,000.00, plus potential annual performance bonus, stock, and benefits.

Matching Summary

Match Score: 85

LinkedIn is seeking a Senior Applied Scientist in AI/ML to advance its AI-powered systems by leading research in methodologies such as prediction, measurement, and optimization. Ideal candidates will have a strong quantitative background, experience with large-scale ML systems, and a collaborative mindset to drive impactful solutions across LinkedIn’s products. The role offers competitive compensation and a culture focused on employee well-being and inclusion.

Salary

Base: $139,000.00 to $229,000.00; Bonus/Equity: annual performance bonus, stock; Benefits: benefits

Skills & Requirements

Must-have

  • Methodological innovation at scale
  • Scalable production-ready solutions
  • Leading methodological research
  • Integrate advanced methodologies
  • Deploy large-scale ML/DL/RL/LLM solutions
  • Cross-functional collaboration

Nice-to-have

  • Transforming theory into practice
  • Culture built on trust and inclusion
  • Investing in employee growth
  • Thought leadership and mentorship

Key Requirements

  • Bachelor's Degree in quantitative discipline
  • 3+ years industry or academia experience
  • Background in at least one programming language
  • Experience in applied statistics and statistical modeling
  • PhD or Master's degree in quantitative field
  • MS and 3+ years relevant work experience
  • Ph.D. and 1+ years relevant work experience

Work Rights

Not specified

Tailored Resume

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