Senior / Staff Machine Learning Training Optimization Engineer

Job overview

The Senior / Staff Machine Learning Training Optimization Engineer role is hybrid in Phoenix, AZ, with a stated annual salary range of $141,000–$249,000. Waabi develops Physical AI technology for autonomous trucks and robotaxis. The role builds and improves distributed training frameworks for research and production, helping make model training more stable and efficient. It also profiles runtime and memory, evaluates emerging technologies, and develops tools that help researchers and machine learning engineers use resources effectively.

What you'll do

• Build standardized distributed training frameworks for research and production
• profile model runtime and memory to identify bottlenecks
• evaluate technologies for training and inference, including CUDA kernels, quantization-aware methods, and compilation/deployment techniques
• collaborate with researchers and ML engineers on resource-use practices
• create and improve tooling and dashboards.

What we're looking for

Skills & competencies

machine learning

training optimization

distributed training

pytorch

jax

cuda

model profiling

inference

hybrid

phoenix az

waabi

$141k–$249k/year

Work arrangement

• Weekend coverage required

Benefits & perks

• Competitive compensation and equity awards
• medical, dental, and vision coverage
• unlimited vacation
• flexible hours and work-from-home support
• office meals and snacks
• team activities
• gym and collaborative workspaces.

Why this role

Waabi works on Physical AI for commercial autonomous trucks and robotaxis. The role includes evaluating emerging training and inference technologies.

About the employer

Waabi is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.