owkin - Software Engineer
Requirements
• 3+ years of industry experience in a similar role, with a BS in software engineering, computer science, applied mathematics, or an associated field. • Deep Python expertise and familiarity with other programming languages. • Strong knowledge of LLMs and Agentic Systems principles, or a demonstrable ability and interest in rapidly acquiring this expertise to build multi-agent software. • Experience with multi-omics data (e.g., genomics, proteomics, imaging) or other complex multimodal datasets, including preprocessing and transformation. • Expertise in documentation, specification, robust testing, continuous deployment, and code optimization. • Familiarity with Agile/Scrum development methodologies. • Solid understanding of software architecture concepts. • Knowledge of cloud computing services (GCP, AWS, Azure) and container-based deployments (Docker, Kubernetes). • Development experience in Linux/Unix-like environments. • Direct experience with data orchestration tools such as Apache Airflow. • Experience working with spatial transcriptomics data. • Knowledge of different technologies for distributed computing, databases, and serialization. • Experience with deep learning frameworks (Tensorflow, PyTorch, etc.). • Knowledge of applied mathematics concepts (signal & image processing, statistics, etc.). • Contributions to OSS projects. • Contribution to publications at machine learning conferences and journals (NeurIPS, ICML, ICLR, etc.).
Responsibilities
• Lead Agent Development: Drive the development of Owkin’s Data Transformation Agent (DTA) and actively contribute to the core components and agents of our platform, "K-Pro." • Orchestrate Data Workflows: Design, implement, and maintain complex data transformation workflows, leveraging tools like Apache Airflow for robust and scalable orchestration. • Deployment and Integration: Manage the seamless integration and deployment of the DTA within Owkin's broader Data Platform infrastructure. • Ensure Code Excellence: Define and enforce robust engineering practices, including Test-Driven Development (TDD), defining best practices for deployment, QA, and maintaining infrastructure, and performing code reviews to ensure high standards. • Technical Leadership: Guide key technical choices and tradeoffs, plan the development goals and milestones for software packages, and focus on performance optimization. • Stakeholder Collaboration: Interface directly with internal customers and research engineers to gather requirements and efficiently resolve implementation bottlenecks.
Benefits
• Flexible work organization • Friendly and informal working environment • Opportunity to work with an international team with high technical and scientific backgrounds • RECRUITMENT PROCESS & SECURITY • Please complete the form and submit your CV.
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