Key skills
CloudDockerIoTKubernetesPostgresPythonPyTorchSQLMachine LearningGitHub ActionsPostgreSQLGitHubCI/CDLeadership
About this role
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
- 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.
- Nice To Have
- Experience with IoT devices and sensors.
- Digital signal processing experience.
- Geospatial analysis and GIS experience.
- Familiar with working in monorepos.
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)