Member of Technical Staff, Recommendation Systems
xAI
Member of Technical Staff, Recommendation Systems
Job Description
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 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 PyTorch
- 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.
Locations
- Palo Alto, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- data infrastructure like Kafka, Clickhouse, and Sparkintermediate
- implementing recommender systemsintermediate
- deep learning applications at industrial scaleintermediate
- DL software frameworks such as JAX or PyTorchintermediate
- writing CUDA kernelsintermediate
- strong communication skillsintermediate
- strong prioritization skillsintermediate
Required Qualifications
- Knowledge of data infrastructure like Kafka, Clickhouse, and Spark (experience)
- Experienced in implementing recommender systems and/or deep learning applications at industrial scale (experience)
- Skilled in one or more DL software frameworks such as JAX or PyTorch (experience)
- Exceptional candidates may be experienced in writing CUDA kernels (experience)
Responsibilities
- 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
Benefits
- general: equity
- general: comprehensive medical, vision, and dental coverage
- general: access to a 401(k) retirement plan
- general: short & long-term disability insurance
- general: life insurance
- general: various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff, Recommendation Systems @ xAI.
Member of Technical Staff, Recommendation Systems
xAI
Member of Technical Staff, Recommendation Systems
Job Description
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 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 PyTorch
- 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.
Locations
- Palo Alto, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- data infrastructure like Kafka, Clickhouse, and Sparkintermediate
- implementing recommender systemsintermediate
- deep learning applications at industrial scaleintermediate
- DL software frameworks such as JAX or PyTorchintermediate
- writing CUDA kernelsintermediate
- strong communication skillsintermediate
- strong prioritization skillsintermediate
Required Qualifications
- Knowledge of data infrastructure like Kafka, Clickhouse, and Spark (experience)
- Experienced in implementing recommender systems and/or deep learning applications at industrial scale (experience)
- Skilled in one or more DL software frameworks such as JAX or PyTorch (experience)
- Exceptional candidates may be experienced in writing CUDA kernels (experience)
Responsibilities
- 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
Benefits
- general: equity
- general: comprehensive medical, vision, and dental coverage
- general: access to a 401(k) retirement plan
- general: short & long-term disability insurance
- general: life insurance
- general: various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff, Recommendation Systems @ xAI.