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Senior Machine Learning Engineer (R&D)

Red Cell Partners

$200,000 - $250,000
Nov 3, 2025
Remote, US
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Red Cell Partners is seeking to address the Nation’s most pressing problems in healthcare, cyber, and national security by developing powerful tools and solutions through innovation and technology-led companies.

Requirements

  • 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms
  • 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark)
  • Proficiency in JavaScript, React, and other web technologies for front-end development.
  • Experience with backend languages (preferably Python or Rust) and system design.
  • 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs)
  • Hands-on experience with large language models (LLMs), generative AI, or natural language processing.
  • Familiarity with model architectures (e.g., transformers, encoders, decoders) and post-training techniques.

Responsibilities

  • Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs.
  • Design, implement, test, and debug code across front-end, back-end, and data pipelines.
  • Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions.
  • Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development.
  • Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment.
  • Establish best practices for reliable and reproducible ML model development.
  • Contribute to the creation of scalable, high-performance infrastructure for AI-driven products.

Other

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • Travel expectations to attend bi-annual All Hands and other travel as needed (~10% or less)
  • Master’s degree or PhD in Computer Science or a related technical field.
  • 2+ years of experience working in an early stage (Seed / Series A) startup
  • Unlimited PTO, with management approval.