Deep Learning Engineer, Mid-Level

Jobright.ai; Palo Alto (CA); On-site; USD 145,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A tech startup in Silicon Valley is looking for a Mid-Level Deep Learning Engineer. The role involves designing software systems for AI model development and optimizing codebases for large-scale training. Candidates should have a degree in Computer Science and proficiency in deep learning frameworks like PyTorch. Experience in life sciences is a plus. Competitive salary with benefits including medical and vision insurance.

Qualifications

• Experience in life sciences or healthcare is a plus.
• Have direct ML Ops platform experience.
• Strong understanding of RESTful APIs, authentication, and deployment pipelines.

Responsibilities

• Design, develop, optimize, and maintain software systems for model development.
• Build and maintain scalable codebases for foundation model training.
• Collaborate with data engineers and research scientists.

Skills

Proficiency with major deep learning frameworks such as PyTorch

Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)

Proficiency in back-end frameworks like Django, Flask

Expertise in distributed systems, cloud computing (AWS, GCP)

Familiarity with machine learning workflows and biological datasets

Education

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

Ph.D. degree in Computer Science or related field (preferred)

Tools

Kubernetes

Docker

PostgreSQL

MongoDB

Job description

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Job Summary:

GenBio AI is a newly established start-up headquartered in Silicon Valley, dedicated to transforming biology and medicine through Generative AI. The Deep Learning Engineer will design and maintain software systems for foundation model development, collaborating with data engineers and research scientists to integrate models into production environments.

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:

Required:

• Bachelor’s, Master’s degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus

• 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)

• Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow

• 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:

• 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

Company:

GenBio.AI, Inc. Founded in 2024, the company is headquartered in Palo Alto, CA, US, with a team of 11-50 employees. The company is currently Early Stage. GenBio AI has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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