Senior ML Ops Engineer at Illumina

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Genomics, BiotechnologyIndustries

Requirements

Not specified

Responsibilities

Develop, implement, and optimize data pipelines for ML systems across Illumina’s products, including DRAGEN and high-throughput sequencing systems like Novaseq X
Collaborate with cross-functional teams (ML, implementation, bioinformatics, optics and imaging, test) to store and process petabytes of highly heterogenous data (images, sequencing output, population data, truth sets, DNA, RNA, multi-omics, variant calls)
Create and maintain code, documentation, testing and deployment frameworks, tools and infrastructure
Work with experts across software engineering, hardware engineering, ML and data science, optics and imaging, precision motion, embedded systems, test
Develop environments for building, testing, tracking production AI models and data across data pipelines used in primary and secondary genomic analysis
Benchmark, track and document model performance, enable continuous improvement of pipelines
Be a technical expert to help internal customers & teams to develop AI models within a consistent ML environment, automate training and data/model management
Participate in setting the long-term roadmap for technical solutions using ML across multiple pipelines
Stay up to date on best practices and drive adoption of standardized processes across the team and wider organization
Standardize the management of ML systems

Skills

MLOps

Data Pipelines

Machine Learning

NGS

DRAGEN

Bioinformatics

Multi-omics

Deployment Frameworks

Infrastructure

Petabyte-scale Processing

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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