Machine Learning Engineer — Recommendation Systems

Job overview

The Machine Learning Engineer — Recommendation Systems works onsite in Palo Alto, CA, with a stated base salary range of $180,000–$440,000 per year. The role supports SpaceXSI’s work building its Super Intelligence stack and applications, with the goal of improving how users find relevant content, accounts, and experiences. The engineer designs and improves recommendation systems and related ranking and search technologies. The work uses product data, experimentation, and machine-learning infrastructure to improve user experience while maintaining system scalability and efficiency.

What you'll do

• Design and architect recommendation algorithms across product surfaces
• use SpaceXSI infrastructure and AI stacks to enhance user experience
• write data pipelines and training jobs that learn from product data
• improve algorithms through real-time user feedback and experimentation
• ensure machine-learning systems are scalable and efficient.

What we're looking for

Skills & competencies

machine learning engineer

recommendation systems

full-time

palo alto ca

spacexsi

applied engineering

ranking algorithms

search technologies

deep learning

jax

pytorch

$180k–$440k/year

Work arrangement

• Weekend coverage required

Benefits & perks

• Equity
• medical, vision, and dental coverage
• 401(k)
• short- and long-term disability insurance
• life insurance
• discounts and other perks.

Why this role

The posting lists Kafka, ClickHouse, Spark, JAX, and PyTorch experience; exceptional candidates may have experience writing CUDA kernels. Compensation package includes equity, medical, vision, and dental coverage, 401(k), disability and life insurance, and other discounts and perks.

About the employer

SpaceXSI is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.