Spear AI

Machine Learning Engineer – Mid-level

Spear AI

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

CloudDockerIoTKubernetesPostgresPythonPyTorchSQL

About the role

  • 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).
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)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningPythonPyTorchdata pipelinesSQLPostgreSQLIcebergDockerKubernetesdigital signal processing