Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Leading high-impact research and development to build AI productivity software for millions of users with an accent on technical strategy, robust deployment, and mentorship. Focus on architecting and deploying scalable state-of-the-art LLMs in production and defining ML engineering best practices.

Location: Hybrid position (need to commute to downtown San Francisco 3+ days a week) unless with more experience (5+ years) or immense talent. Must be a Full-Time US Employee.

Salary: $200,000–$250,000 base + Equity + Benefits.

Company

hirify.global is a workflow AI platform used by over 5 million users across 600,000 businesses, valued at over $1 billion, and based in San Francisco.

What you will do

• Drive the design of the ML technical roadmap and align with strategic business objectives.
• Architect and deploy reliable, scalable AI infrastructure to support millions of users.
• Define ML engineering best practices across model development, evaluation, deployment, and monitoring.
• Mentor and grow the ML team, providing technical guidance.
• Lead cross-functional initiatives with product, engineering, and leadership teams.
• Spearhead the end-to-end development of complex and impactful AI systems, from research to production.

Requirements

• 5+ years of industry experience working on ML problems, with at least 2+ years in a technical leadership role.
• Hands-on experience architecting and deploying LLMs in production at scale.
• Demonstrated track record of shipping impactful ML products that drive significant business value.
• Proven expertise in building ML platforms and infrastructure that enable rapid experimentation and reliable production deployment.
• Deep expertise with the full ML stack from distributed training (e.g., PyTorch, JAX, Accelerate, FSDP) to production serving and monitoring.
• Experience with advanced techniques including multi-modal models, alignment (RLHF, constitutional AI), and efficient inference.
• Excel at technical communication, explaining complex ML concepts to various stakeholders.

Culture & Benefits

• Competitive salaries, comprehensive healthcare benefits, and motivating equity.
• Flexible PTO and Parental Leave.
• 401k and WFH Stipend.
• Commuter Benefits for SF office employees.
• Opportunity to work with exceptional and smart teammates.