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.