Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Design, build, and maintain large-scale data and training pipelines as well as experimentation infrastructure, and bring software engineering rigor to the full research lifecycle with an accent on data acquisition and processing pipelines. Focus on evaluating ML models and algorithms, iterating quickly in close partnership with research scientists.

Location: Mountain View, California

Salary: $197,000 - $266,500

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

• Design, build, and maintain large-scale data acquisition and processing pipelines that power the team's research experiments.
• Architect and operate enterprise-scale experimentation infrastructure including experiment tracking, logging, reproducibility tooling, and compute orchestration.
• Serve as the team's engineering interface to product and platform organizations.
• Establish and enforce engineering best practices across the team.
• Create reusable libraries, tools, and components that accelerate the research development lifecycle and leverage hirify.global's technology stack.
• Conduct and support experiments to evaluate ML models and algorithms, iterating quickly in close partnership with research scientists.

Requirements

• Strong CS fundamentals: data structures and algorithms, distributed systems, system design.
• Expert-level software engineering: Git, high-quality production-grade code, containerization, cloud infrastructure.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent).
• Proficiency in AI assisted coding environments.
• Deep understanding of the ML development lifecycle, with expertise in data processing, experimentation, and infrastructure.
• Demonstrated technical leadership at the Staff level; 8+ years of relevant industry experience.

Nice to have

• Past experience working in or closely supporting a research organization.
• PhD in a relevant field.

Culture & Benefits

• Competitive compensation package with a strong pay for performance rewards approach.
• Eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs.
• Regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.