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Machine Learning Engineer

4 months ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Feature Engineering Hugging Face Kubernetes Machine Learning PyTorch TensorFlow
Apply Now
Vannevar Labs

Vannevar Labs

Vannevar Labs is a defense company that combines top engineering talent with decades of mission experience to deliver state-of-the-art technology to those in need. They specialize in a foreign text workflow platform, Decrypt, designed for national secu...

Aerospace & Defense
11-50
$87M raised
View All Jobs 14

Description

  • Design and build scalable ML services for enrichment workflows, including model training pipelines and high-performance inference APIs.
  • Deploy and optimize models using modern inference libraries and frameworks to achieve low-latency, high-throughput performance.
  • Collaborate with software engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics.
  • Build robust monitoring, observability, and evaluation systems to ensure model quality and service reliability in production.
  • Own the end-to-end ML platform across the full lifecycle from training and fine-tuning to deployment and monitoring.
  • Architect ML pipelines that handle large-scale data processing for enrichment use cases.
  • Ensure ML services meet strict production performance and reliability standards.
  • Stay current with emerging ML techniques, tools, and best practices related to model optimization and efficient inference.

Requirements

  • 5+ years of experience building and deploying machine learning systems in production environments.
  • Strong proficiency with model deployment technologies such as Kubernetes and Ray, and inference libraries such as ONNX, vLLM, TensorRT, or similar.
  • Proficiency with model training frameworks such as PyTorch, TensorFlow, or Jax.
  • Experience designing and scaling ML services that process large volumes of data with strict latency and throughput requirements.
  • Experience with the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Solid software engineering skills, including experience with distributed systems, APIs, and cloud infrastructure.
  • Passion for building reliable, performant ML systems that create value for end users.
  • U.S. Person status is required due to access to U.S.-only data systems.

Benefits

  • $150,000 - $215,000 salary range plus equity.
  • Health, dental, and vision insurance.
  • Remote-friendly work environment with WeWork access.
  • Unlimited PTO, shared downtime during federal holidays, and company-wide time off at the end of each year.
  • 401(k) match.
  • Lifestyle and wellbeing stipends.
  • Fully paid parental leave.
  • Child and pet care reimbursement during travel.

Interested in this position?

Apply directly on the company website

Apply Now

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