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Member of Technical Staff - Multimodal Post-training

xAI

Member of Technical Staff - Multimodal Post-training

xAI

Palo Alto, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$180,000 - $440,000

Benefits & Perks

Parental leave

Generous paid time off and holidays

Team events and activities

401(k) matching

Comprehensive health, dental, and vision insurance

Parental Leave

Healthcare

Required Skills

JavaScript

React

TypeScript

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 employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Team

The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.

About the Role

In this role you will:

  • Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems

  • Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users. Some projects will involve real-time video understanding, including data curation, pipelines, and evaluation for video-based multimodal capabilities

Exceptional candidates may have:

  • Experience or publications in (multimodal) large language models (data / training algorithm / architecture)

  • Exceptional engineering skills to iterate quickly on the data processing and training pipelines

  • Strong understanding of large language model and data

  • Deep knowledge of reinforcement learning techniques

  • Deep knowledge of reinforcement learning techniques

  • Experience in real-world computer vision, video processing, or multimodal datasets (e.g., real-time video understanding, noisy visual data handling, or scalable video pipelines)

Location

  • We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto 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:

  • Coding assessment in a language of your choice.

  • 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training.

  • 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. For details on data processing, view our *Recruitment Privacy Notice.

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About xAI

xAI

xAI

Series B

X.AI Corp., doing business as xAI, is an American company working in the area of artificial intelligence (AI), social media and technology that is a wholly owned subsidiary of American aerospace company SpaceX.

201-500

Employees

Austin

Headquarters

$50B

Valuation

Reviews

4.1

25 reviews

Work Life Balance

3.9

Compensation

4.6

Culture

4.3

Career

4.3

Management

3.5

83%

Recommend to a Friend

Pros

Strong engineering culture with focus on code quality

Competitive compensation packages with equity

Flexible remote work options and good work-life balance

Cons

Organizational changes and restructuring can be disruptive

Internal politics in some teams

Fast-paced environment with tight deadlines

Salary Ranges

0 data points

Junior/L3

Junior/L3 · Technical Writer

0 reports

$89,690

total / year

Base

-

Stock

-

Bonus

-

$76,237

$103,144

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Coding Assessment

2

Live coding round

3

Technical Interview

4

Systems Design

Common Questions

Coding challenges

Technical problem solving

Systems design

Algorithm implementation