Machine Learning Engineer - Recommendation Systems
$180k - $440k • Palo Alto, CA
Posted 4d ago
Job Location
Palo Alto, CA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
SpaceXSI is building Super Intelligence to help humanity understand the universe. We are 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
- Design and architect recommendation algorithms across various product surfaces.
- Leverage SpaceXSI's infra and AI stacks to enhance user experience.
- Write data pipelines and training jobs that continuously learn from product data.
- Iterate and improve algorithms by gathering user feedback in real time through experimentation.
- Ensure scalability and efficiency of machine learning systems.
Requirements
- Knowledge of data infrastructure like Kafka, Clickhouse, and Spark.
- Experience implementing recommender systems and/or deep learning applications at industrial scale.
- Skilled in one or more DL software frameworks such as JAX or PyTorch.
- Experience writing CUDA kernels is a plus.
Benefits
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks