Staff Deep Learning/AI Engineer
3 weeks ago
About the Role:
We are seeking a highly skilled Staff Deep Learning/AI Engineer to join our team at Illumina. As a key member of our team, you will be responsible for developing and implementing machine learning systems across our products, including DRAGEN and high-throughput sequencing systems like NovaseqX.
Responsibilities:
- Develop machine learning algorithms in Python and deliver products that are deployed on the cloud, on sequencers, and on local compute servers.
- Research complex algorithms for primary and secondary analysis, deliver best-in-class products.
- Create and maintain Python models and pipelines, documentation, unit tests.
- Work closely with other software engineers, researchers, and domain experts on AI/ML models and architectures.
- Help advance code quality and efficiency throughout ML development; deliver efficient solutions to optimize pipeline speed.
Qualifications:
- Bachelor's or Master's in Computer Science, Engineering, or a related technical field, or equivalent experience.
- 7+ years of relevant experience in algorithm development, ideally Python and C++, especially high-performance computing.
- Experience with large and complex pipelines, using machine learning models, signal processing, and similar to analyze large volumes of data efficiently.
Additional Nice-to-Haves:
- Bioinformatics, ML, software engineering principles, software test, applied math background, and/or experience.
- Deep learning, structured data machine learning, gradient boosting, linear algebra, and statistics applied to images, tabular data, unstructured multimodal data, computer vision.
About Illumina:
Illumina is a leading biotech company that is expanding access to genomic technology to realize health equity for billions of people around the world. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.
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