Spear AI

Artificial Intelligence & Machine Learning for National Security

Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50Since 2020Company SiteLinkedIn

Location

United States

Posted

14 days ago

Salary

Not specified

Bachelor DegreeEnglishCloudDockerIo TKubernetesPostgre SQLPythonPy TorchSQL

Job Description

• 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.

Job 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.

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)

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