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
Senior Deep Learning/AI Engineer – Machine Learning
GenAI Developer Intern leading AI - based projects at Vaisala. Developing AI - assisted test procedures and collaborating with engineers in a hybrid role.
AI Engineer developing agentic AI workflows to enhance drug discovery processes using advanced machine learning. Collaborating with medicinal chemists to deliver effective solutions.
Applied AI Engineer developing LLM solutions for a Copenhagen - based AI startup. Taking ownership of AI workflows and collaborating across teams to enhance product experience.
Lead Full Stack Engineer for AI Platform at Wolters Kluwer, enhancing decision - making in healthcare, legal, and compliance fields. Join a remote - first team with high autonomy and impact.
Issues Manager & AI Lead providing strategic support to the Deputy Minister for Technology and Innovation. Responsible for AI - driven process implementation and operational management.
Senior Lead AI Engineer delivering AI - powered products and optimizing large scale AI production systems at Capital One. Collaborating with cross - functional teams to enhance banking experiences using AI.
Senior Engineer developing innovative AI - powered solutions at Humana. Collaborating with data scientists on generative AI projects and deploying AI technologies for health improvement.
Lead AI Engineer developing and deploying AI - powered solutions at Humana. Collaborating with data scientists and engineers to address complex business challenges using generative AI.
Senior AI Engineer developing and optimizing LLM - driven solutions for enterprise customers at TrustLab. Collaborating with teams to enhance AI evaluation and labeling systems.