Member Of Technical Staff - Recommendation Systems

xAI

Palo Alto, CA, United States
$180,000 - $440,000 usd py
On-site
Recommendation algorithms design
Data pipelines and training jobs
Machine learning systems scalability
xAI is seeking a Member of Technical Staff specializing in recommendation systems to enhance user experiences for approximately 600 million monthly users. The ideal candidate will have a strong engineering or scientific background with experience in designing and implementing recommendation algorithms and deep learning applications

Job Summary

  • xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
  • Designing and architecting recommendation algorithms across various product surfaces, leveraging all of xAI’s infra and AI stacks to dramatically enhance the user experience.
  • Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

Matching Summary

Match Score: 85

xAI is seeking a Member of Technical Staff specializing in recommendation systems to enhance user experiences for approximately 600 million monthly users. The ideal candidate will have a strong engineering or scientific background with experience in designing and implementing recommendation algorithms and deep learning applications.

Salary

$180,000 - $440,000 USD

Skills & Requirements

Must-have

  • recommendation algorithms design
  • data pipelines and training jobs
  • machine learning systems scalability
  • Kafka, Clickhouse, and Spark knowledge
  • industrial scale recommender systems
  • JAX or PyTorch DL frameworks

Nice-to-have

  • curiosity and initiative
  • strong prioritization skills
  • concise and accurate knowledge sharing
  • writing CUDA kernels

Key Requirements

  • Knowledge of data infrastructure
  • Implementing recommender systems at scale
  • Skilled in DL software frameworks
  • Experienced in writing CUDA kernels

Work Rights

Not specified

Tailored Resume

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