Applied ML Engineer, Recommender Systems (Equity)

SpaceXAI; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical coverage

Vision coverage

Dental coverage

401(k) plan

Job summary

SpaceXAI is seeking exceptional Applied engineers to join a high-priority project used by hundreds of millions of monthly users. You will design and architect recommendation algorithms across product surfaces, leveraging our infra and AI stacks to dramatically enhance user experience.

You will write data pipelines and training jobs that learn from product data, iterate with real-time feedback, and ensure scalable ML systems that connect users with relevant content and experiences.

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

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

Skills

Recommender systems

Deep learning

Real-time experimentation

Tools

JAX

PyTorch

CUDA

Kafka

Clickhouse

Spark

Job description

SpaceXAI is seeking exceptional Applied engineers to join a high-priority project used by hundreds of millions of monthly users. You will design and architect recommendation algorithms across product surfaces, leveraging our infra and AI stacks to dramatically enhance user experience.

You will write data pipelines and training jobs that learn from product data, iterate with real-time feedback, and ensure scalable ML systems that connect users with relevant content and experiences.