Machine Learning Engineer - Recommendation Systems

Posted 2 Months Ago
Palo Alto, CA, USA
In-Office
180K-440K Annually
Entry level
Information Technology
The Role
Design and architect recommendation algorithms, build data pipelines and continuously learning training jobs, improve ranking systems through real-time experimentation and user feedback, and ensure machine learning systems are scalable and efficient. The role requires industrial-scale recommender systems or deep learning experience and proficiency with data infrastructure and deep learning frameworks.
Summary Generated by Built In

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.

ABOUT THE ROLE:

We’re seeking exceptional Applied 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:
  • Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
  • Experienced in implementing recommender systems and/or deep learning applications at industrial scale
  • Skilled in one or more DL software frameworks such as JAX or PyTorch
  • Exceptional candidates may be experienced in writing CUDA kernels
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 Required

  • Knowledge of data infrastructure such as Kafka, ClickHouse, and Spark
  • Experience implementing recommender systems and/or deep learning applications at industrial scale
  • Skill with one or more deep learning frameworks such as JAX or PyTorch
  • Experience writing CUDA kernels

xAI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about xAI and has not been reviewed or approved by xAI.

  • Healthcare Strength — Healthcare is described as comprehensive, including medical, dental, vision, mental health support, and fertility benefits. Additional protections such as disability and life insurance, plus HSA/FSA options, are also outlined.
  • Equity Value & Accessibility — Equity is positioned as a core component of total rewards alongside high base salaries for technical roles. Pre‑IPO stock grants are highlighted as enabling participation in potential company growth.
  • Leave & Time Off Breadth — The package includes flexible or generous PTO, paid holidays, and paid sick days. Company materials also describe flexible vacation policies intended to help manage fast‑paced workloads.

xAI Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Palo Alto, CA
96 Employees

What We Do

Understand the Universe

Similar Jobs

Krea Logo Krea

Machine Learning Engineer

Artificial Intelligence • Software • Design • Generative AI
In-Office
San Francisco, CA, USA
1019 Employees
75-100 Annually

SOPHiA GENETICS Logo SOPHiA GENETICS

Director, BioPharma Business Development

Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Remote or Hybrid
4 Locations
450 Employees

CrowdStrike Logo CrowdStrike

Manager, Incident Response Consulting (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
USA
11000 Employees
140K-195K Annually

CrowdStrike Logo CrowdStrike

Sr. Manager, Media Relations (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
USA
11000 Employees
130K-200K Annually

Similar Companies Hiring

Axle Health Thumbnail
Artificial Intelligence • Healthtech • Information Technology • Logistics
Santa Monica, CA
25 Employees
NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Austin, TX
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account