Senior ML Infra Engineer – End-to-End Pipelines

Applied Intuition; Sunnyvale (CA); Hybrid; USD 153,000 - 222,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Learning stipend

Wellness stipend

Paid time off

Job summary

Applied Intuition in Sunnyvale, California, is seeking an ML infrastructure engineer to own the full ML lifecycle—from dataset generation to training, evaluation, and deployment—working with modeling teams across the company.

You will design distributed cloud GPU training, build end-to-end ML pipelines, and promote best practices for scalable ML infrastructure. A strong production mindset and collaboration with cross-functional teams are essential.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent.
• 3+ years of professional experience in ML or data infra.
• Experience building production-ready ML software components and platforms.

Responsibilities

• Design and implement end-to-end ML training and evaluation pipelines.
• Collaborate with modeling teams to deploy ML workflows.
• Drive ML platform improvements with a focus on scalability and reliability.
• Promote best practices across ML engineering and data teams.

Skills

Distributed ML infrastructure

ML pipelines

Cloud training

Open source evaluation

Analytical problem solving

Education

Bachelor's degree in CS/Software Eng or equivalent

Tools

Airflow

Flyte

PyTorch

TensorFlow

NVIDIA Triton

Job description

Applied Intuition in Sunnyvale, California, is seeking an ML infrastructure engineer to own the full ML lifecycle—from dataset generation to training, evaluation, and deployment—working with modeling teams across the company.

You will design distributed cloud GPU training, build end-to-end ML pipelines, and promote best practices for scalable ML infrastructure. A strong production mindset and collaboration with cross-functional teams are essential.