Sr Deep Learning/AI Engineer - Machine Learning at Illumina

San Diego, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Genomics, HealthcareIndustries

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

Responsibilities

Design and develop machine learning algorithms for a variety of bioinformatic problems and data types, and 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 practice
Design, develop, test, deploy, maintain machine learning software solutions (on sequencer, on DRAGEN servers, in the cloud)

Skills

Key technologies and capabilities for this role

Deep LearningMachine LearningAINext Generation SequencingNGSDRAGENBioinformaticsMulti-omicsComputer VisionPythonAlgorithmsML Systems

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for the Sr Deep Learning/AI Engineer role?

The role requires expertise in designing and developing machine learning algorithms, proficiency in Python programming, debugging and troubleshooting ML models, and collaboration with cross-functional teams.

What is the company culture like at Illumina?

Illumina fosters a collaborative environment surrounded by extraordinary people, inspiring leaders, and world-changing projects where every person has the opportunity to make a difference and grow.

What makes a strong candidate for this ML Algorithms expert role?

A strong candidate is a strong problem-solver with a proven track record of getting things done, takes ownership, works efficiently, delivers high-quality work, and has product programming experience with a passion for machine learning.

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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