Machine Learning Engineer – Mid-level

Role Overview

• Develop, test, train, and evaluate machine learning models or other algorithms.
• Set up distributed training clusters in the cloud.
• Track experiments and monitor models in production.
• Construct pipelines that transform and synthesize data.
• Integrate machine learning models or other algorithms into the application.
• Improve local development and CI/CD using modern tooling and GitHub Actions.

Requirements

• Strong Machine Learning skills.
• Expertise in Python and PyTorch.
• Experience creating data pipelines with tools such as Dagster.
• Experience tracking experiments with tools such as Weights & Biases.
• Experience serving models with tools such as BentoML.
• Proficiency with SQL (PostgreSQL / Iceberg).
• Knowledge of Docker and Kubernetes.
• Experience with IoT devices and sensors (Nice To Have).
• Digital signal processing experience (Nice To Have).
• Geospatial analysis and GIS experience (Nice To Have).
• Familiar with working in monorepos (Nice To Have).

Tech Stack

• Cloud
• Docker
• IoT
• Kubernetes
• Postgres
• Python
• PyTorch
• SQL

Benefits

• Unlimited PTO — Take the time you need to recharge and maintain work-life balance.
• Dedicated Sick Time — Your health and well-being come first.
• Comprehensive Health & Benefits – Medical, dental, and vision coverage to keep you and your family protected.
• 11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend with loved ones.
• Professional Development — Educational opportunities and resources to help you grow your skills and advance your career.
• Collaborative Environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter.
• Mission-Driven Work — Contribute to projects that directly support national security and make a real-world impact.
• Growth Opportunities — Join us during an exciting expansion phase where you can help shape our future.
• 401(k) with company match.
• Onsite / Remote / Flexible work arrangements or hybrid options (position dependent).
• Relocation assistance (position dependent).
• Referral bonuses.
• Performance bonuses.
• Life insurance and disability coverage.
• Technology home office setup stipend.
• Professional certification reimbursement (position dependent)