Machine Learning Engineer - Recommendation Systems

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.

RESPONSIBILITIES:

• Designing and architecting recommendation algorithms across various product surfaces
• Leverage all of SpaceXSI'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

BASIC QUALIFICATIONS:

• 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

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.