Job details

Data Engineer

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 & Accelerate, or Megatron-LM/DeepSpeed.
Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
Proficiency in back-end frameworks like Django, Flask, or 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.

Average salary estimate

$110000 / YEARLY (est.)

min

max

$90000K

$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, GenBio AI

Join our innovative start-up as a Data Engineer in Palo Alto, CA, where we're harnessing the power of Generative AI to redefine the landscape of biology and medicine. Our team is made up of a diverse group of visionary scientists, engineers, and entrepreneurs who are passionate about transforming healthcare through cutting-edge technology. In this role, you'll be at the forefront of developing and optimizing software systems that are crucial for the full lifecycle of foundation model development. Your responsibilities will include building efficient and scalable codebases, collaborating with research scientists to bring models into production, and ensuring best practices in software engineering. With your strong programming background in languages like JavaScript and Python, along with experience using deep learning frameworks such as PyTorch, you'll help create robust back-end systems and APIs that support complex workflows. We are looking for someone who thrives in a collaborative environment focused on innovation, so if you're ready to make a global impact and help us pioneer the next era of biomedicine, we would love to hear from you!

Frequently Asked Questions (FAQs) for Data Engineer Role at GenBio AI

What are the primary responsibilities of a Data Engineer at the Generative AI start-up in Palo Alto?

As a Data Engineer at our innovative start-up in Palo Alto, you will design, develop, and maintain software systems that are essential to the foundation model development lifecycle. This includes building scalable codebases for large-scale model training, optimizing back-end systems, collaborating with data engineers and research scientists, and implementing best practices in software development. Your role is pivotal in ensuring the efficient integration of advanced AI models into production environments.