Senior Engineering Manager, Ml Platform (Ai)

TL;DR

Senior Engineering Manager, ML Platform (AI): Leading the development and operation of hirify.global's robust and efficient ML training platform with an accent on scalability, reliability, and performance to support large-scale Foundation and RL models. Focus on attracting and inspiring a diverse engineering team, fostering a culture of innovation, and collaborating with cross-functional teams to define requirements and align on architectural decisions.

Location: Hybrid in Foster City, CA

Salary: $317,000 - $370,000 a year

Company

hirify.global is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Develop and execute a strategic vision for the ML training platform, ensuring scalability, reliability, and performance to support large-scale Foundation and RL models.
• Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models.
• Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.
• Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions.
• Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback.

Requirements

• 10+ years of relevant experience, including 4+ years of management experience managing other managers and engineers.
• Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput, low-latency serving use cases.
• Experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs for distributed model training.
• Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks.

Culture & Benefits

• Comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, hirify.global Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
• Opportunity to have a significant impact on executing hirify.global's mission to reimagine transportation and build autonomous robotaxis.
• Work at the intersection of robotics, machine learning, and design, aiming to provide the next generation of mobility-as-a-service in urban environments.