ML Systems Engineer (AI)

Location: San Francisco, United States; in-person in the SF office

Company

hirify.global develops AI systems that form compact memories from user context to power personalized and continually learning models and agents.

What you will do

• Design and execute frameworks, techniques, and systems that improve performance, reliability, latency, and efficiency.
• Partner with machine learning researchers to turn prototypes into production systems running at scale.
• Optimize serving paths for personalization and low-latency memory retrieval with per-user state.
• Build and optimize distributed training using data and model parallelism across GPUs and nodes.
• Set engineering standards for code review, testing, on-call operations, and security.
• Help build the engineering team and shape engineering culture as the company scales.

Requirements

• Bachelor’s degree or equivalent experience in computer science, engineering, or a related field.
• 5+ years of experience with training or inference systems and optimized workloads with measurable results.
• Strong engineering foundations and experience shipping high-quality code in complex technical environments.
• Deep understanding of ML frameworks such as PyTorch or JAX, GPUs, distributed systems, and infrastructure.
• Ability to operate independently in ambiguous environments and turn research concepts into executable plans.
• Ability to work in person from the San Francisco office.

Nice to have

• Prior early-stage startup experience.
• Experience with open-source ML or systems infrastructure projects.

Culture & Benefits

• Close collaboration across research, product, platform engineering, and customers.
• Founding-hire scope with substantial ownership in a novel AI sector.
• Competitive cash compensation and startup equity.
• Equal opportunity workplace welcoming applicants from diverse backgrounds.