Deep Learning Engineer

GenBio AI; Palo Alto (CA); On-site; USD 170,000 - 260,000; Full time

Job summary

A pioneering biotech start-up is seeking a skilled Deep Learning Engineer. The role involves designing and maintaining software for model development and deployment. Successful candidates will have a strong programming background, with proficiency in Python, JavaScript, and major deep learning frameworks. A Bachelor’s or Master’s degree in a relevant field is required, with advantages given to those with experience in life sciences. Join us in revolutionizing biology and medicine through Generative AI, located in Palo Alto, California.

Qualifications

• Experience in life sciences or healthcare is a plus.
• Knowledge of biological data types and challenges.
• Familiarity with CI/CD pipelines.

Responsibilities

• Design, develop, optimize, and maintain software systems.
• Collaborate with data engineers and research scientists.
• Build and optimize back-end systems, APIs, and databases.

Skills

JavaScript

Python

GPU-accelerated tools

PyTorch

HuggingFace Transformers

DeepSpeed

ML Ops platforms

Django

Flask

RESTful APIs

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Kubernetes

Docker

PostgreSQL

MongoDB

Job description

Join to apply for the Deep Learning Engineer role at GenBio AI

Base pay range

$170,000.00/yr - $260,000.00/yr

Headquartered in Silicon Valley, we are a newly established start‑up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life‑transforming solutions. As the first mover in pan‑modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground‑breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Key Responsibilities

• Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre‑training, fine‑tuning, serving)
• Build and maintain scalable, efficient, and reusable codebases for large‑scale foundation model training, adaptation, evaluation, and inference
• Collaborate closely with data engineers and research scientists to integrate models into production environments
• Implement and ensure best practices in software engineering, including code quality, testing, and documentation
• Build and optimize robust back‑end systems, APIs, and databases to support complex workflows
• Ensure code quality, scalability, and performance through rigorous testing and code reviews

Qualifications

• Bachelor’s, Master’s degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus
• Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU‑accelerated tools (e.g., CUDA, cuDNN, Triton)
• Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerator, or Megatron‑LM/DeepSpeed
• Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)
• Have direct ML Ops platform experience, such as Kubeflow pipelines, Argo workflows, Apache Airflow, or Metaflow
• Proficiency in back‑end frameworks like Django, Flask, Node.js, and database technologies (e.g., PostgreSQL, MongoDB)
• Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes)

Preferred Qualifications

• Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus
• Prior experience pre‑training or serving large language models or large‑scale foundation models
• Experience with deep learning workflows
• Knowledge of biological data types and challenges and experience with bioinformatics tools
• Familiarity with version control systems like Git and CI/CD pipelines
• Strong understanding of RESTful APIs, authentication, and deployment pipelines
• Familiarity with machine learning workflows and biological datasets

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E‑Verify program to confirm the employment eligibility of all newly hired employees. For more information on E‑Verify, please visit www.e‑verify.gov. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development