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Member of Technical Staff - Recommendation Systems

Palo Alto, CA💼 Full-time💰 $180,000–$180,000🗓 2026-05-26 → 2026-08-01

Core

Designing and architecting recommendation algorithms, ranking systems, and search technologies to connect users with relevant content and experiences for a platform with 600 million monthly users.

Role type

Applied ML engineer (recommendation systems)

Builds

Recommendation algorithms, ranking systems, search technologies, data pipelines, and training jobs

Domain

AI/ML, Recommendation Systems, Search Technologies

Deliverable

production ML models

Required skills

Data infrastructure (Kafka, Clickhouse, Spark), Industrial-scale recommender systems, Deep learning frameworks (JAX, PyTorch), CUDA kernel development

Preferred skills

None stated

Technologies

Kafka, Clickhouse, Spark, JAX, PyTorch, CUDA

Responsibilities

Designing and architecting recommendation algorithms across product surfaces, Leveraging xAI's infra and AI stacks to enhance user experience, Writing data pipelines and training jobs that continuously learn from product data, Iterating and improving algorithms via real-time user feedback experimentation, Ensuring scalability and efficiency of machine learning systems

Seniority

Mid-to-Senior, hands-on IC

Rewrite
## 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 an 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 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 ## REQUIREMENTS: - 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 ## BENEFITS: $180,000 - $440,000 USD 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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