Vivodyne · 3 days ago
AI Senior Scientist
San Francisco (Brisbane), CA
Full-time
Onsite
Senior Level
$220K/yr - $270K/yrVivodyne creates human data before clinical trials, accelerating the discovery and development of human therapeutics. As an AI Senior Scientist, you will leverage your expertise in large-scale models and Generative AI solutions to deliver robust algorithms and models that drive scientific insights and high-impact discoveries.
Artificial Intelligence (AI)BiotechnologyLifestyle
Responsibilities
Scientific Innovation — Work closely with internal and external stakeholders to understand their scientific objectives and innovate new approaches that utilize Vivodyne’s massive-scale imaging and multi-omics datasets
Model Development — Lead hands-on development of cutting-edge machine learning models (Transformers, Diffusion, hybrid architectures, etc.) with a focus on image processing, image enhancement, and Phenomap embeddings
Data Pipeline Optimization — Build and deploy pipelines capable of scaling to petabyte-scale data, ensuring robust MLOps practices on AWS or equivalent cloud platforms
Multimodal Integration — Explore and develop novel methods to incorporate multi-omics data into imaging-based Phenomaps, advancing the state of the art in multimodal phenotypic analysis
Collaboration & Communication — Partner with tissue engineers, microfluidics experts, and robotics engineers to refine data collection strategies, provide feedback on imaging system performance, and identify opportunities for improved AI-driven solutions
Scientific Rigor & Leadership — Uphold scientific excellence through peer reviews, proper documentation, and clear communication. Drive a culture of continuous improvement, best practices, and adherence to rigorous research methodologies
Scalability & Efficiency — Emphasize modularity, composability, and performance efficiency in designing and implementing high-throughput compute and analytics pipelines
Domain & Technical Growth — Remain current with the latest research trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training. Proactively share knowledge and mentor teammates to foster overall organizational expertise
Qualification
Required
PhD in Computer Science, Applied Mathematics, or a related field, or equivalent practical experience
Proven expertise developing and deploying advanced ML architectures (Transformers, Diffusion, multi-modal models) in Generative AI settings
Demonstrated history of success with image processing and large-scale model training
Strong knowledge of AWS or another major cloud provider for MLOps, big data processing, and scalable computing
Experience building models for petabyte-scale datasets and understanding the associated architectural and operational complexities
Stay current with AI/ML research, especially in Generative AI, Transformers, Diffusion models, and multi-modal architectures
Set high standards for model development and code quality, mentoring team members and fostering innovation
Own model and infrastructure development from concept to deployment, delivering reliable, scalable solutions aligned with Vivodyne's mission
Develop creative solutions to novel research challenges, thriving in a fast-paced, dynamic startup environment
Work cross-functionally to align AI strategies with business goals, ensuring clear communication and consensus-building
Prioritize impactful research, using project management best practices to track progress, mitigate risks, and meet deadlines
Design scalable, cost-effective systems and produce clean, well-documented code with continuous testing and governance compliance
Apply financial discipline to maximize the efficiency of compute, storage, and third-party services
Foster an inclusive environment, mentoring future leaders and representing Vivodyne in AI research and industry discussions
Preferred
Familiarity with biological or biomedical imaging; advanced knowledge in multi-modal Phenomaps, especially integrating imagery with multi-omics data, is a major plus
Prior experience with HPC, GPU clusters, or distributed computing frameworks
Comfortable with container orchestration and open-source data engineering/ML frameworks
Strong written and oral communication skills, with a proven ability to present complex technical topics to non-experts
Demonstrated ability to thrive in ambiguous environments, driving clarity and direction with minimal supervision
Company
Vivodyne
Vivodyne accelerates drug discovery using lab-grown human tissues, robotics, and AI to generate accurate preclinical test data.
Founded in 2020
11-50 employees
H1B Sponsorship
Vivodyne has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
Funding
Current Stage
Early StageTotal Funding
$80MKey Investors
Khosla Ventures
2025-05-29Series A· $40M
2023-11-22Seed· $38M
2021-03-11Seed· $2M
Leadership Team
Andrei Georgescu, Ph.D.
Chief Executive Officer
Sheila Ahern
Senior Executive Assistant to Chief Executive Officer & C-Suite
Recent News
2025-10-16
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2025-06-28
Tech Startups - Startups and Technology news
2025-06-11
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