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 SpaceXAI'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 SpaceXAI, 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.