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职位xAI

Member of Technical Staff, Recommendation Systems

xAI

Member of Technical Staff, Recommendation Systems

xAI

Palo Alto, CA

·

On-site

·

Full-time

·

2mo ago

薪酬

$180,000 - $440,000

福利待遇

Parental Leave

Learning

必备技能

SQL

Confluence

Amplitude

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 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.

What You'll Do

  • Designing and architecting recommendation algorithms across various product surfaces

  • Leverage all of xAI’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

Who You Are

  • 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 Py Torch

  • Exceptional candidates may be experienced in writing CUDA kernels

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 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps:

  • Deep dive coding challenge

  • Meet and greet with the wider team

Our goal is to complete the process within one week. All interviews will be conducted in person when applicable.

Location

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

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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关于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

员工数

Austin

总部位置

$50B

企业估值

评价

2.7

2条评价

工作生活平衡

2.0

薪酬

3.0

企业文化

1.5

职业发展

2.0

管理层

1.5

15%

推荐给朋友

缺点

Product instability (Grok)

Leadership shakeup and instability

High employee turnover

薪资范围

4个数据点

Intern

Intern · Technical Writer

0份报告

$89,690

年薪总额

基本工资

-

股票

-

奖金

-

$76,182

$103,198

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

20%

体验

正面 20%

中性 60%

负面 20%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Assessment

5

Onsite/Virtual Interviews

6

Final Round

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

AI/ML Concepts