AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
About the role
- ML Algorithms expert at Illumina developing and implementing machine learning systems for genomic technology. Collaborating with cross-functional teams to optimize bioinformatic algorithms across various data types.
Responsibilities
- Design and develop machine learning algorithms for a variety of bioinformatic problems and data types, ensure algorithm performance meets product requirements
- Debug and troubleshoot machine learning models – understand model performance on corner cases and improve model performance
- Collaborate with cross-functional teams, including AI/ML researchers, software engineers, bioinformatics domain experts, hardware engineering etc., to implement, optimize and test machine learning models
- Create and maintain high quality Python code, documentation, unit tests, complying with software and product development best practices
- Design, develop, test, deploy, maintain machine learning software solutions (on sequencer, on DRAGEN servers, in the cloud)
Requirements
- Master’s or Ph.D. in Machine learning, Computer Science or a related technical field, or equivalent experience
- 1+ years of relevant experience in product development focusing on ML systems or high-performance signal processing systems, ideally in Python or C++
- Solid knowledge and experience in machine learning algorithms, deep learning, data structures, and high-performance computing
- Solid knowledge and experience with ML frameworks (Tensorflow, keras, Pytorch, xgboost, sklearn)
- Experience in debugging ML models and explainable ML frameworks
- Solid Python coding skills – demonstrated track of python coding with unit testing, documentation, code reviews, version control
- Self-starter, strong problem-solving skills, ability to push forward project objectives both through individual effort and team collaboration
Benefits
- Health/dental/vision
- Retirement benefits
- Paid time off
- Access to genomics sequencing
- Family planning programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead AI Engineer designing and building multi - agent capabilities for enterprise applications at AI.IMPACT in Hamburg, Germany. Requires deep generative AI expertise and strong software engineering foundations.
Software Engineer developing AI/GenAI capabilities for unstructured data. Transforming data into actionable insights and autonomous AI systems for business decisions.
Build AI - driven services utilizing LLMs and modern web applications for the educational sector. Collaborate cross - functionally while maintaining clean engineering practices in a growing startup setting.
AI Developer managing the entire lifecycle of AI applications in Berlin. Responsibilities include development, deployment, and monitoring of AI solutions using modern technologies.
AI Engineer designing and deploying intelligent systems that transform global payment services at Sokin. Collaborating with teams on automation across the software development lifecycle in the fintech domain.
AI Developer at GenAIz specializing in machine learning models for the Life Sciences industry. Responsible for software development, model implementation, and collaboration with cross - functional teams.
AI Engineer integrating AI techniques into robotics at Robotec.ai. Involves collaboration across various teams and development of AI - driven features.
AI Engineer designing and developing tools using AI technologies for efficiency at Tailor Platform. Focusing on large - scale language models to enhance engineering productivity and support productivity tools.
Associate AI Engineer developing and deploying AI solutions to optimize global operations for Manulife. Collaborating with cross - functional teams to enhance operational efficiency.