Deep Learning Engineer

A Silicon Valley startup focused on transforming biology and medicine through Generative AI, pioneering pan-modal Large Biological Models (LBM).
Machine Learning
Mid-Level Software Engineer
In-Person
11 - 50 Employees
3+ years of experience
AI · Healthcare · Biotech

Description For Deep Learning Engineer

Join a pioneering Silicon Valley startup that's revolutionizing biology and medicine through the power of Generative AI. As a Deep Learning Engineer at GenBio, you'll be at the forefront of developing and implementing cutting-edge Large Biological Models (LBM).

Our company brings together leading minds in AI and Biological Science, working to decode biology holistically and enable next-generation life-transforming solutions. With headquarters in Silicon Valley and a presence in Paris, we're positioned to make a global impact in the intersection of AI and healthcare.

In this role, you'll be responsible for designing and developing software systems for foundation model development, working with state-of-the-art technologies and frameworks. You'll collaborate with a talented team of data engineers and research scientists, building scalable solutions that push the boundaries of what's possible in biomedicine.

The ideal candidate brings strong technical expertise in deep learning frameworks, distributed systems, and modern software development practices. You'll have the opportunity to work with cutting-edge GPU-accelerated tools, cloud computing platforms, and containerization technologies. Experience in life sciences or healthcare is valued, as you'll be working on transformative solutions in these domains.

We offer a unique opportunity to be part of a team that's pioneering the future of biological science and medicine through AI. Our strong R&D focus and leadership in LLM and generative AI create an environment where innovation thrives. Join us in our mission to redefine the future of biology and medicine through the transformative power of Generative AI.

Last updated 14 days ago

Responsibilities For Deep Learning Engineer

  • Design, develop, optimize, and maintain software systems for foundation model development and deployment lifecycle
  • Build and maintain scalable codebases for large-scale foundation model training
  • Collaborate with data engineers and research scientists for model production integration
  • Implement software engineering best practices
  • Build and optimize back-end systems, APIs, and databases
  • Ensure code quality through testing and code reviews

Requirements For Deep Learning Engineer

Python
JavaScript
PostgreSQL
MongoDB
Node.js
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • Strong programming skills in JavaScript, Python, and modern web development frameworks
  • Proficiency with deep learning frameworks (PyTorch, HuggingFace Transformers)
  • Familiarity with resource management systems (SLURM, Kubernetes)
  • Proficiency in back-end frameworks and database technologies
  • Expertise in distributed systems, cloud computing, and containerization tools

Interested in this job?

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