Staff Research Scientist (adtech/recommendation Systems)

Cognitiv

San Mateo, CA, United States
Base: $200,000 - $300,000 usd; equity: included; b...
Hybrid (3 days onsite, 2 days remote)
Deep learning and llm expertise
Pytorch and transformer architecture
Real-time bidding system experience
Cognitiv is seeking a Staff Research Scientist to lead and innovate in deep learning and recommendation systems within the advertising technology sector. The role combines strategic leadership with hands-on technical contributions, requiring expertise in deep learning, machine learning, and real-time bidding systems

Job Summary

  • The role involves leading a team of Machine Learning Research Scientists while maintaining 30-50% hands-on coding and experimentation time.
  • Candidates will drive innovation in deep learning and Large Language Models to enhance real-time bidding and recommendation systems.
  • The company offers comprehensive benefits including unlimited PTO, 12 weeks paid parental leave, and equity for all employees.

Matching Summary

Match Score: 85

Cognitiv is seeking a Staff Research Scientist to lead and innovate in deep learning and recommendation systems within the advertising technology sector. The role combines strategic leadership with hands-on technical contributions, requiring expertise in deep learning, machine learning, and real-time bidding systems.

Salary

Base: $200,000 - $300,000 USD; Equity: Included; Benefits: Comprehensive package with medical, dental, vision, and 401(k) match

Skills & Requirements

Must-have

  • Deep Learning and LLM expertise
  • PyTorch and Transformer architecture
  • Real-time bidding system experience
  • Python programming proficiency
  • Team leadership and mentoring
  • Production model deployment

Nice-to-have

  • C++ programming skills
  • Published research track record
  • Spark and Hadoop big data frameworks
  • AWS, GCP, or Azure cloud platforms
  • AdTech and RTB domain knowledge

Key Requirements

  • Master's or Ph.D. in Computer Science or related field
  • 5-7+ years of machine learning R&D experience
  • Proven experience leading teams of researchers

Work Rights

Not specified

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