Lead ML Engineer, Scalable Defense AI (Remote)

Vannevar; United States; Remote; USD 150,000 - 215,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Unlimited PTO

401(k) match

Fully paid parental leave

Job summary

Vannevar is seeking an experienced Machine Learning Engineer to lead the development of scalable ML services essential for data enrichment. In this role, you will work with advanced technologies to deploy models using frameworks such as PyTorch and TensorFlow within demanding production environments.

We offer a salary range of $150,000 - $215,000, competitive benefits including health insurance, remote work options, and generous PTO policies. Join us in advancing defense technology and making a meaningful impact.

Qualifications

• 5+ years of experience building and deploying machine learning systems in production environments.
• Strong proficiency with model deployment technologies and inference libraries.
• Solid software engineering skills, including experience with distributed systems.

Responsibilities

• Design and build scalable ML services for enrichment workflows.
• Deploy and optimize models using modern inference libraries.
• Collaborate with product teams to define data requirements.

Skills

Model training frameworks (PyTorch, TensorFlow, Jax)

Deployment technologies (Kubernetes, Ray)

Experience with ML lifecycle

Design scalable ML services

Data processing and analysis

Tools

ONNX

vLLM

TensorRT

Job description

Vannevar is seeking an experienced Machine Learning Engineer to lead the development of scalable ML services essential for data enrichment. In this role, you will work with advanced technologies to deploy models using frameworks such as PyTorch and TensorFlow within demanding production environments.

We offer a salary range of $150,000 - $215,000, competitive benefits including health insurance, remote work options, and generous PTO policies. Join us in advancing defense technology and making a meaningful impact.