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Deep Learning Engineer, Mid-Level
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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Palo Alto, CA . Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Software Engineer, AI Platform - New Grad
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Deep Learning Engineer, Mid-Level
role at
Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the
Deep Learning Engineer, Mid-Level
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Deep Learning Engineer jobs in
Palo Alto, CA . Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Mountain View, CA $125,400.00-$188,100.00 2 weeks ago Software Engineer (L4), Content & Business Products
Sunnyvale, CA $56.25-$137,000.00 4 days ago Mountain View, CA $158,000.00-$198,000.00 2 days ago Palo Alto, CA $96,000.00-$200,000.00 3 weeks ago Mountain View, CA $130,000.00-$176,000.00 1 week ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago Software Engineer I (Intern) United States
San Jose, CA $44,000.00-$130,000.00 4 days ago Palo Alto, CA $180,000.00-$440,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $93,200.00-$170,600.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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