Member of Technical Staff, Recommendation Systems
Develop and scale recommendation algorithms, ranking, and search systems using AI stacks and data infrastructure for a platform with 600M users. Requires expertise in recommender systems, deep learning frameworks like JAX/PyTorch, and tools like Kafka/Spark.
About the job
What You'll Do
- Designing and architecting recommendation algorithms across various product surfaces
- Leverage all of xAI’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
Who You Are
- 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
Annual Salary Range
$180,000 - $440,000 USD
Benefits
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.
Skills
Kafka, ClickHouse, Spark, Recommender Systems, Deep Learning, JAX, PyTorch, CUDA, Data Pipelines, Machine Learning
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