AI/ML Engineer – Contract

🕒 Yesterday

🏄 California – Remote

🏄 California – Remote

💵 $60 - $85 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Vividion Therapeutics. Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🧬 Biotechnology

🏥 Healthcare

💊 Pharmaceuticals

💰 $135M Series C on 2021-02

Biotechnology • Healthcare • Pharmaceuticals

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.

📋 Description

• Design, build, and deploy end-to-end AI/ML and agent-based systems from problem definition through production deployment, monitoring, and continuous improvement • Automate enterprise and scientific tasks and improve system performance through data analysis • Collaborate with scientists to build robust data pipelines and ensure high-quality training data • Design scalable, reliable services on major cloud platforms with CI/CD, observability, and operational excellence • Translate customer requirements into business solutions using data pipelines and statistical models • Build and maintain scalable ML infrastructure, including training pipelines, feature stores, and model serving systems • Contribute to MLOps practices including CI/CD for ML, model versioning, and A/B testing frameworks • Perform exploratory analysis, model design and training, validation, feature engineering, and production handoff • Construct, study, and train algorithms that learn from complex, high-dimensional data to uncover patterns and develop predictive models and applications • Document architectures, experiments, and results for technical and non-technical stakeholders • Engineer data, model, and agent pipelines, including workflow orchestration, model lifecycle management, and automated retraining and rollouts • Orchestrate and integrate agent frameworks, containers, web services/APIs, and distributed systems • Develop and integrate Copilot experiences into existing tools for real-time AI-driven assistance and insights

🎯 Requirements

• BA/BS degree in Computer Science or related field plus 6 years of hands-on experience, or 10+ years of experience in data engineering or related field • Experience designing, building, deploying, and maintaining end-to-end 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 for complex tasks • Experience building and deploying production ML systems using ML algorithms, deep learning, and statistical modeling • Effective communication with technical and non-technical audiences • Comfort with ambiguity and a bias toward experimentation • Experience designing and deploying autonomous AI agents using modern LLM frameworks and orchestration tools