Generative AI Software Developer

$137,200 - $254,800/Yr

Genentech - San Francisco, CA

posted 3 months ago

Full-time - Senior
San Francisco, CA
Chemical Manufacturing

About the position

Genentech's Early Clinical Development (ECD) department is seeking a talented and motivated Generative AI Software Developer reporting to the Director of software engineering at the Digital Transformation Office (DTO). The DTO collaborates with a broad range of stakeholders involved in the clinical development process, including Clinical Science, Clinical Operations, Medical Writing, Quality, and Regulatory. The work will span multiple therapeutic areas such as oncology, immunology, neuroscience, metabolism, and infectious disease, aiming to develop industry-leading solutions for complex business problems. The Generative AI Software Developer will be responsible for designing, developing, and deploying cutting-edge generative AI models and applications. This role requires a high degree of ingenuity and creativity, as the developer will need to stay attuned to the rapidly changing tech and healthcare landscapes. The position will involve collaboration with AI scientists, full-stack developers, and other stakeholders to create innovative solutions that leverage AI to solve complex problems and enhance user experiences. Key responsibilities include developing and implementing generative models using techniques such as GANs, VAEs, and transformers, optimizing these models for performance, scalability, and accuracy. The developer will also manage end-to-end model training processes, ensure code quality and documentation, and maintain robust deployment pipelines for AI models. This role is crucial in ensuring that the models meet quality and reliability standards while also monitoring their performance in production and implementing necessary improvements.

Responsibilities

  • Design and build advanced generative models using techniques such as GANs, VAEs, and transformers.
  • Optimize models for performance, scalability, and accuracy.
  • Collaborate closely with data scientists, engineers, and product managers to integrate generative AI capabilities into products and services.
  • Stay up-to-date with the latest advancements in generative AI and machine learning.
  • Evaluate new technologies and methodologies to continuously improve models and solutions.
  • Manage end-to-end model training processes, including data preparation, hyperparameter tuning, and performance evaluation.
  • Write clean, maintainable, and well-documented code.
  • Participate in code reviews and contribute to best practices in software development.
  • Develop and maintain robust deployment pipelines for AI models.
  • Monitor model performance in production and implement necessary improvements.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven 5+ years of experience in developing and deploying ML/AI models.
  • 2+ years of experience in developing and deploying generative AI models.
  • Strong background in deep learning frameworks such as TensorFlow, PyTorch, or similar.
  • Proficiency in Python, Typescript, and either React or Vue.
  • Experience with cloud platforms (e.g., AWS).
  • Demonstrated proficiency with version control systems and automated software testing and delivery.
  • Strong understanding of generative models, including GANs, VAEs, and transformer-based architectures.
  • Familiarity with natural language processing (NLP) and computer vision.
  • Proficiency with containerized workflows and architectures.
  • Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
  • Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Nice-to-haves

  • PhD in Computer Science, Engineering, Mathematics, or a related field.
  • Sound knowledge of DevOps, infrastructure, and continuous integration concepts.
  • Relevant experience with a proven track record in healthcare-related NLP, computer vision, or medical imaging projects.

Benefits

  • Vision insurance
  • Discretionary annual bonus based on individual and Company performance
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