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.
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