Machine Learning Engineer (Recommendation Systems)

• 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
• We’re seeking exceptional Applied AI Engineers to join a high-priority project that brings xAI’s cutting-edge expertise to the X platform, used by approximately 600 million monthly users
• This is an exciting opportunity for individuals with a research engineer or research 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 research and real-world impact, enhancing X’s ability to connect users with relevant content, accounts, and experiences
• Designing and architecting recommendation algorithms across various product surfaces in X (Timelines, Ads, Video, Search, Notifications)
• Leverage all of xAI’s infra and AI stacks to dramatically enhance the user experience on X
• 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

• Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
• Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
• Flexible vacation: We work hard but avoid burn out. Take time off when you need it
• Visa sponsorship: We support international talent with visa sponsorship to join our team
• 401(k) plan: Retirement savings plan to secure your financial future

• Work ethic and strong prioritization skills are important
• All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates
• Exceptional candidates may be experienced in writing CUDA kernels
• Experienced in implementing recommender systems and/or deep learning applications at industrial scale
• Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
• Skilled in one or more DL software frameworks such as JAX or PyTorch

• 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