xAI Logo

xAI

Senior Product Engineer - Starfleet

Reposted 16 Days Ago
Easy Apply
In-Office
2 Locations
180K-440K Annually
Mid level
Easy Apply
In-Office
2 Locations
180K-440K Annually
Mid level
Develop and enhance AI systems by building end-to-end features, creating human data generation pipelines, and ensuring a robust data collection platform.
The summary above was generated by AI
About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Team

The Starfleet team is responsible for creating the tools and systems necessary to drive frontier model performance. We collaborate closely with our research teams and AI tutor teams to develop new solutions that accelerate research progress across model capabilities, evaluation, safety, and alignment.

About the Role

In this role you will:

  • Build features end-to-end: front-end, back-end, system design, debugging and testing
  • Create innovative human data generation pipelines.
  • Ensure that our overall data collection platform is secure, scalable, and delightful to use.
  • Develop systems that improve our model’s reasoning and agentic capabilities
  • Innovating new ideas that bring us closer to our goal: to develop AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Exceptional candidates may have:

  • Experience delivering high-quality web applications in rapidly changing environments - as a tech lead, former founder, etc.
  • Experience collaborating in highly cross-functional environments
  • Experience in connecting machine learning model behavior to data distribution and data quality
  • Experience in building data-collection platforms
Tech Stack
  • Typescript, Python, Rust
  • React, Express, PostgreSQL
Location

The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

  1. Coding assessment in a language of your choice.
  2. Front end technical interview, in React/Typescript
  3. Systems hands-on: Demonstrate practical skills in a live problem-solving session.
  4. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.

Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.

Annual Salary Range

$180,000 - $440,000 USD

Benefits

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

xAI is an equal opportunity employer.

California Consumer Privacy Act (CCPA) Notice

Top Skills

Express
Postgres
Python
React
Rust
Typescript
HQ

xAI San Francisco, California, USA Office

3180 18th St., San Francisco, CA, United States

xAI Palo Alto, California, USA Office

1450 Page Mill Road, Palo Alto, CA, United States

Similar Jobs

5 Hours Ago
Hybrid
San Francisco, CA, USA
189K-351K Annually
Senior level
189K-351K Annually
Senior level
Cloud • Software
Lead and develop a talented SRE team while ensuring compliance with FedRAMP regulations and collaborating across teams for security and operations.
Top Skills: AIAutomationCloudDistributed SystemsFedrampSecurity
6 Hours Ago
Hybrid
Carmel, CA, USA
22-28 Hourly
Junior
22-28 Hourly
Junior
Fintech • Financial Services
As a Teller, you will support customer transactions, engage with clients, process operations, and ensure compliance with bank policies while building community relationships.
6 Hours Ago
Hybrid
Temecula, CA, USA
23-31 Hourly
Entry level
23-31 Hourly
Entry level
Fintech • Financial Services
The Associate Personal Banker will build relationships and provide financial solutions to customers, assist with account openings, and ensure compliance with regulations.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account