Senior ML Ops Engineer
Senior ML Ops Engineer
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Job Description
Our team develops Next Generation Sequencing (NGS) solutions used by researchers and clinicians worldwide providing sample-to-answer pipelines with high reliability speed and accuracy of results. We develop machine learning solutions across Illuminas portfolio from sequencing functions to analysis and interpretation algorithms. DRAGEN our secondary analysis platform has industry leading performance and is used for clinical and research work. We also develop algorithms for on-sequencer pipelines including super-resolution basecalling denoising. Advanced AI applications drive transformational genetic insights that improve understanding of human biology cancer and rare disease.
We are seeking an ML Ops engineer to join our team. This role will develop implement and optimize data pipelines for ML systems across Illuminas products including DRAGEN and high-throughput sequencing systems like Novaseq X the highest throughput sequencer in the industry. You will 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).
Responsibilities:
You will create and maintain code documentation testing and deployment frameworks tools and infrastructure working closely with engineers researchers and domain experts on AI/ML models and pipelines
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 models operationalize ML pipelines; support release activation monitoring
All listed tasks and responsibilities are deemed as essential functions to this position; however business conditions may require reasonable accommodations for additional tasks and responsibilities.
Qualifications:
Bachelors or Masters in Computer Science or a related technical field or equivalent experience
2 years of relevant experience in machine learning and operations ideally in a hands-on MLOps role (extraordinary applicants with less experience also considered)
Experience deploying APIs and packages
Experience with ML ops platforms (MLFlow W&B etc; Kubernetes/Docker dask Ray similar)
Experience with ML frameworks (Tensorflow keras Pytorch xgboost sklearn)
Strong Python coding skills experience with unit testing code reviews version control
Strong background and interest in ML Ops Dev Ops Data Engineering
Self-starter good problem-solving skills ability to push forward project objectives both through individual effort and team collaboration
Experience with CI/CD platforms ability to design a technical roadmap and influence/build alignment
All listed requirements are deemed as essential functions to this position; however business conditions may require reasonable accommodations for additional tasks and responsibilities.
Additional Nice-to-Haves:
Bioinformatics ML software engineering principles software test applied math background and/or experience
NGS knowledge
Distributed compute for big data - HPC dask Ray etc.
Experience with AWS GCP Azure
Visualization experience (plotly matplotlib etc)
Familiarity with bioinformatics workflows primary and/or secondary analysis pipelines
Experience with revision control (git github Actions)
Experience with ML acceleration technology (FPGA GPU etc)
Strong Linux/Unix fundamentals
Strong documentation and presentation skills
Machine learning experience/knowledge
Degree and Job Experience Requirements:
The candidate could have a degree from any of the following fields: Bioinformatics Biology Physics Electrical Engineering Computer Science Software Engineering Applied Math related topics
Bachelors Masters or Ph.D.
Job experience: the role can be morphed to accommodate candidates from recent graduates to experienced professionals
We are a company deeply rooted in belonging promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation Illumina has always prioritized openness collaboration and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay regardless of gender ethnicity or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences increase cultural awareness and offer opportunities to engage in social responsibility. 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. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local state and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local state and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process please contact To learn more visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.
Required Experience:
Senior IC
Employment Type
Full-Time
