Pay
Higher than most similar jobs
$180K–$440K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer, Recommendation Systems
Palo Alto, CA
Open 6 months, first seen by us 204 days ago- Pay
USD 180,000–440,000/yearAnnual period assumed — pay source
COMPENSATION AND BENEFITS: $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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and architect recommendation algorithms across product surfaces
Improve algorithms using real-time user feedback from experiments
Ensure scalability and efficiency of machine learning systems
From the employer’s posting
Designing and architecting recommendation algorithms across various product surfaces
Iterate and improve the algorithm by gathering user feedback in real time through experimentation
Ensuring scalability and efficiency of machine learning systems
What you’ll bring
All qualificationsCore experience
- Skilled in a deep learning framework such as JAX or PyTorch
- Knowledge of data infrastructure such as Kafka, ClickHouse, and Spark
Qualification wording
Skilled in one or more DL software frameworks such as JAX or PyTorch
Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026204 days ago
- Recorded sightings
- 294
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
SpaceXSI is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- ClickHouse
- Kafka
- Spark
- PyTorch
Where the posting names them
- 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:
- 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
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
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:
- 3+ 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 - $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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
COMPENSATION AND BENEFITS: $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.
- Location & working pattern
Palo Alto, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.