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Senior Software Engineer - Machine Learning - Remote

Posted 6 weeks ago
Software Development
Full Time
USA

Overview

An overview paragraph about the job

In Short

  • Remote (or Hybrid in Boston/San Francisco) | Full-time | Startup Environment
  • Bridge the gap between research and production in machine learning.
  • Transform cutting-edge ML prototypes into scalable, production-ready software.
  • Collaborate with modeling, software, and application engineering teams.
  • Manage multiple concurrent projects balancing model development and deployment.
  • Ensure models run efficiently and reliably at scale in production environments.

Requirements

  • 5+ years of ML engineering experience.
  • Proficiency in Python, TensorFlow or PyTorch, SciPy, and FastAPI.
  • Strong understanding of neural networks.
  • Experience with optimization techniques.
  • Professional software engineering practices: version control (Git), testing, CI/CD, and Docker.
  • Experience managing ML models at scale in production.
  • Ability to work autonomously in a fast-paced startup environment.
  • Experience in modeling physical processes is a plus.

Benefits

  • Impact – Deliver cutting-edge ML models to real-world customers.
  • Autonomy – Work independently while collaborating across teams.
  • Flexibility – Work remotely or join us in Boston or San Francisco.

Geminus

Geminus

Geminus is a fast-growing startup that leverages advanced machine learning and artificial intelligence algorithms to integrate data, physics, and computation for the autonomous control of complex industrial systems. The company is focused on building a cutting-edge SaaS product for enterprise customers, and it offers a dynamic work environment that allows for remote or hybrid work options in Boston or San Francisco. As they scale, Geminus is committed to fostering a culture of innovation and collaboration among a small, highly skilled team.

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