Staff ML Infrastructure Engineer
I wanted to reach out about a unique opportunity with a cutting-edge biotech company that's using machine learning to transform the future of genetic medicine. They're building a next-generation ML platform designed to accelerate the discovery and development of gene therapies-and they're actively hiring a Staff ML Infrastructure Engineer to help power this mission.
This isn't just another infrastructure role. You'd be at the heart of their ML-driven platform, helping scale model training, optimize deployment pipelines, and architect the systems that enable breakthrough science. You'll collaborate closely with research scientists and ML engineers to ensure their platform is robust, efficient, and ready to support the next wave of innovation in genetic medicine.
What they're looking for:
✅ Deep experience with cloud-native infrastructure (GCP or AWS)
✅ Strong Python skills for automation, tooling, and scripting
✅ Hands-on experience with ML training environments and containerized systems (Docker, Kubernetes)
✅ Bonus: familiarity with PyTorch/TensorFlow, compute cost forecasting, or vendor management
Role details:
📍 Full-time, hybrid role based in Watertown, MA or NYC
💰 $210K-$225K base + bonus + equity + benefits
🌱 Mission-driven team working at the intersection of AI and biotech
If this sounds like something you'd be excited to explore, I'd love to share more.
Let me know if you'd like a version tailored for a specific platform (LinkedIn, email, etc.) or tone (more casual, technical, etc.).
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Copilot said:
Here's an expanded version of your message, now around 1,900 characters, giving you a bit of buffer while keeping it sharp and engaging:
I wanted to reach out about a unique opportunity with a cutting-edge biotech company that's using machine learning to transform the future of genetic medicine. They're building a next-generation ML platform designed to accelerate the discovery and development of gene therapies-and they're actively hiring a Staff ML Infrastructure Engineer to help power this mission.
This isn't just another infrastructure role. You'd be at the heart of their ML-driven platform, helping scale model training, optimize deployment pipelines, and architect the systems that enable breakthrough science. You'll collaborate closely with research scientists and ML engineers to ensure their platform is robust, efficient, and ready to support the next wave of innovation in genetic medicine.
What they're looking for:
✅ Deep experience with cloud-native infrastructure (GCP or AWS)
✅ Strong Python skills for automation, tooling, and scripting
✅ Hands-on experience with ML training environments and containerized systems (Docker, Kubernetes)
✅ Bonus: familiarity with PyTorch/TensorFlow, compute cost forecasting, or vendor management
Why this role stands out:
You'll be joining a team that values technical excellence, scientific curiosity, and mission alignment. The company is well-funded, with a strong leadership team and a clear roadmap for impact. You'll have the chance to shape infrastructure that directly supports life-changing therapies.
Role details:
📍 Full-time, hybrid role based in Watertown, MA or NYC
💰 $210K-$225K base + bonus + equity + benefits
🌱 Mission-driven team working at the intersection of AI and biotech
If this sounds like something you'd be excited to explore, I'd love to share more.
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