Sr. Maching Learning Engineer, Search Ranking

Space X
San Francisco, CA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$180,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Stores Python (Programming Language) Search Engines Machine Learning Operations

Job description

  • Build search and retrieval algorithms that scale to millions of users
  • Build and operate large scale search engine and search infrastructure
  • Train state of the art ML ranking models
  • Integrate Grok in search systems and products

Requirements

  • Experience in Python, Go, and Rust

PREFERRED SKILLS AND EXPERIENCE:

  • Experience with vector databases, search indices, or similar data stores for search applications
  • Experience working on large-scale search systems
  • Deep experience building or working with production ML systems
  • Take full ownership of problems and learn whatever you need to solve them
  • Can move quickly in a fast-paced environment with shifting priorities and tight deadlines

Benefits & conditions

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

About the company

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We’re creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

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