Machine Learning Engineer, Recommendation Systems

xAI|11 Apr 2025

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Listed location: Palo Alto, CA

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

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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:

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.

Skills mentioned

PyTorchJAXCUDASparkKafka

Frequently asked questions

Is the Machine Learning Engineer, Recommendation Systems position at xAI remote?

The Machine Learning Engineer, Recommendation Systems role at xAI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Machine Learning Engineer, Recommendation Systems role?

xAI is hiring for a full-time Machine Learning Engineer, Recommendation Systems position.

Which skills are mentioned for the Machine Learning Engineer, Recommendation Systems job at xAI?

Detected skill labels include PyTorch, JAX, CUDA, Spark, Kafka. Check the employer description to distinguish required skills from preferred experience.