Job details

Deep Learning 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

$125000 / YEARLY (est.)

min

max

$100000K

$150000K

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What You Should Know About Deep Learning Engineer, GenBio AI

Are you ready to dive deep into the revolutionary world of healthcare and biology with us as a Deep Learning Engineer? At our innovative start-up headquartered in Silicon Valley, we're a collective of visionary minds devoted to harnessing the potential of Generative AI to reshape the future. Our projects are groundbreaking, especially as pioneers in pan-modal Large Biological Models (LBM). We believe in a collaborative environment, where your expertise can shine as you design, develop, and optimize software systems that form the backbone of our model development lifecycle. You'll work hand-in-hand with brilliant data engineers and research scientists to bring transformative models into production. Your work will not just support our ambitious goals; it will directly contribute to life-changing advancements in medicine and biology. If you are skilled in programming languages like Python and JavaScript, and have experience with frameworks such as PyTorch and modern back-end technologies, you might just be the person we're looking for! As a part of our exceptionally strong R&D team, you'll also have the chance to implement best practices in software engineering and optimize robust systems that manage complex workflows. Here, we believe that diversity enhances innovation, and we are dedicated to creating an inclusive workplace where every idea matters. Come, join us, and let's redefine the landscape of biomedicine together!

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

What are the key responsibilities of a Deep Learning Engineer at our company?

As a Deep Learning Engineer at our forward-thinking start-up, your responsibilities will include designing, developing, optimizing, and maintaining software systems that support the entire lifecycle of foundation model development. This entails working on everything from data pipelines to pre-training and fine-tuning models, ensuring that solutions are scalable and efficient. You will collaborate closely with data engineers and research scientists to integrate and deploy models into production environments while upholding software engineering best practices.