Sr. Machine Learning Engineer, Recommendation Systems
Company websitex.ai (xAI, opens in new tab)
Base salary $180K to $330K
Employer-published annual base salary, USD. Advertised base range in Palo Alto, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationPalo Alto, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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.
SR. MACHINE LEARNING ENGINEER, RECOMMENDATION SYSTEMS
We’re seeking exceptional engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.
RESPONSIBILITIES:
- Designing and architecting recommendation algorithms across various product surfaces
- Leverage all of SpaceXSI's infra and AI stacks to dramatically enhance the user experience
- Write data pipelines and training jobs that continuously learn from product data
- Iterate and improve the algorithm by gathering user feedback in real time through experimentation
- Ensuring scalability and efficiency of machine learning systems
BASIC QUALIFICATIONS:
- 5+ years of industry experience in implementing recommender systems and/or deep learning applications at industrial scale
PREFERRED SKILLS AND EXPERIENCE:
- Experience in writing CUDA kernels
- Skilled in one or more DL software frameworks such as JAX or PyTorch
- Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
COMPENSATION AND BENEFITS:
$180,000 - $330,000 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.
Source: xAI on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 41% of the 1,503 Data & ML roles in California listed on this site; 55 others list the same floor. Their median floor is $187,000; the middle half runs from $158,941 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSr. Machine Learning Engineer, Recommendation Systems$180K to $330K
Sr. Software Engineer, Real-Time Storage$180K to $330K
Sr. Software Engineer, Consumer Subscriptions$180K to $330K
Sr. Web Engineer (X)$180K to $330K
Sr. Software Engineer, Observability$180K to $330K
Sr. Software Engineer, Platform Infrastructure$180K to $330K
Sr. Maching Learning Engineer, Search Ranking$180K to $330K
Chart as a table
| Role | Published base |
|---|---|
| Sr. Machine Learning Engineer, Recommendation Systems (this listing) | $180K - $330K |
| Sr. Software Engineer, Real-Time Storage | $180K - $330K |
| Sr. Software Engineer, Consumer Subscriptions | $180K - $330K |
| Sr. Web Engineer (X) | $180K - $330K |
| Sr. Software Engineer, Observability | $180K - $330K |
| Sr. Software Engineer, Platform Infrastructure | $180K - $330K |
| Sr. Maching Learning Engineer, Search Ranking | $180K - $330K |
Observed changes
- First observed on the employer's board
- fields changed
- Began meeting the published-salary criteria
- Advertised base range changed
- fields changed
- Observed since
- Employer-stated posting date
- 2025-04-11
Where this pay comes from
Location as the employer wrote it: Palo Alto, CA
$180,000 - $330,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
