
51 - 200 employees
💰 $135M Series C on 2021-02
Vividion Therapeutics, Inc. is a biotechnology company focused on transforming the future of human health through the creation of highly selective small molecule medicines that drug traditionally inaccessible targets. The company is advancing a broad, diversified pipeline of multiple, selective small molecule therapeutics for highly sought-after disease-causing target proteins in oncology and immunology. The company’s cutting-edge platform was spun out of the labs of Vividion’s scientific founders, a team of experts in chemical biology and synthetic chemistry from The Scripps Research Institute in La Jolla, CA.
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51 - 200 employees
💰 $135M Series C on 2021-02
Vividion Therapeutics, Inc. is a biotechnology company focused on transforming the future of human health through the creation of highly selective small molecule medicines that drug traditionally inaccessible targets. The company is advancing a broad, diversified pipeline of multiple, selective small molecule therapeutics for highly sought-after disease-causing target proteins in oncology and immunology. The company’s cutting-edge platform was spun out of the labs of Vividion’s scientific founders, a team of experts in chemical biology and synthetic chemistry from The Scripps Research Institute in La Jolla, CA.
• Design, build, and deploy end-to-end AI/ML and agent-based systems, from problem definition and model development to production deployment, monitoring, and continuous improvement to solve business problems, and automate enterprise and scientific tasks. • Focus on simulating human learning activities, improving system performance through data analysis, and developing deep learning frameworks and systems. • Collaborate with scientists to build robust data pipelines and ensure high-quality training data. • Design scalable, reliable services on major cloud platforms; strong CI/CD, observability, and operational excellence. • Translate customer requirements to business solutions using data pipelines and statical models. • Build & maintain scalable ML infrastructure, including training pipelines, feature stores, and model serving systems. • Contribute to MLOps best practices, including CI/CD for ML, model versioning, and A/B testing frameworks. • Create exploratory analysis, model design & training, validation, feature engineering, production handoff to drive business optimization. • Responsible for constructing, studying, and training algorithms that learn from complex, high-dimensional data to uncover patterns and develop practical predictive models and applications. • Document architectures, experiments, and results clearly for technical and non-technical stakeholders to support current work and any retraining for the future. • Data, model, and agent pipeline engineering (e.g., workflow orchestration, model lifecycle management, automated retraining/rollouts). • Orchestration and integration across components (agent frameworks, containers, web services/APIs, distributed systems). • Develop and integrate intuitive Copilot experiences into existing tools to provide real-time, AI-driven assistance and insights to team members.
• BA/BS degree in Computer Science + 6 years hands-on experience designing, building, deploying, and maintaining end-to-end or related field OR 10+ years' experience in data engineering or related field. • AI/ML systems in production environments. • Solid knowledge of backend system design, APIs, CI/CD pipelines, agent-based workflows, and production support for scalable AI/ML platforms. • Fluency in multiple coding languages including SQL and Python and ML frameworks. • History of meeting tight deadlines and providing accurate estimates of time required to complete complex tasks. • Experience building and deploying production ML system using ML algorithms, deep learning, and statistical modeling. • Effective communication with both technical and non-technical audiences. • Comfort with ambiguity and a bias toward experimentation. • Experience designing and deploying autonomous AI Agents utilizing modern LLM frameworks and orchestration tools.
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