TL;DR

Member Of Technical Staff (Recommendation Systems): Designing and architecting recommendation algorithms and machine learning systems for a high-impact AI product used by millions, with an accent on scalability, real-time user feedback integration, and advanced AI infrastructure. Focus on building and improving recommendation systems, ranking algorithms, and data pipelines at industrial scale.

Location: Must be located near Palo Alto or open to relocation to the Bay Area, United States

Salary: $180,000 - $440,000 USD annually

Company

%hirify_global% is a mission-driven AI company focused on creating systems that understand the universe and aid humanity, emphasizing engineering excellence and a flat organizational structure.

What you will do

Design and architect recommendation algorithms across various product surfaces
Leverage %hirify_global%’s AI infrastructure and stacks to enhance user experience
Develop data pipelines and training jobs that learn continuously from product data
Iterate and improve algorithms using real-time user feedback and experimentation
Ensure scalability and efficiency of machine learning systems

Requirements

Location: Must be near Palo Alto or willing to relocate to the Bay Area, United States
Experience with data infrastructure such as Kafka, Clickhouse, and Spark
Proven experience implementing recommender systems or deep learning applications at industrial scale
Proficiency in deep learning frameworks like JAX or PyTorch
Exceptional candidates may have experience writing CUDA kernels
English: Proficient communication skills required

Hiring process

Initial CV and statement review
15-30 minute phone technical interview
Deep dive coding challenge
Meet and greet with the wider team
Interviews conducted in person when applicable

Culture & Benefits

Comprehensive medical, vision, and dental coverage
Equity participation
401(k) retirement plan access
Short and long-term disability insurance
Life insurance and various discounts and perks