Senior Deep Learning/AI Engineer (Finance)

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

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 Illumina's 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. Advanced AI applications drive transformational genetic insights that improve understanding of human biology, cancer and rare disease.

We are seeking an ML Algorithms expert to join our team. This role will develop and implement ML systems across Illumina's products, including DRAGEN, the Constellation technology, and sequencing systems like high-throughput Novaseq X. You will collaborate with cross-functional teams (algorithms, software, bioinformatics, optics and imaging, test) to develop and implement machine learning algorithms operating on a variety of data types (images, sequencing output, population data, DNA, RNA, multi-omics, etc). The ideal candidate is a strong problem-solver with a proven track record of getting things done-someone who takes ownership, works efficiently, and consistently delivers high-quality work.

If you have product programming experience and a passion for machine learning, this is a great opportunity to join an exciting team at a leading biotech company.

Responsibilities:

• You will design and develop machine learning algorithms for a variety of bioinformatic problems and data types.
• Design machine learning algorithms for unique domain problems and ensure algorithm performance meets product requirements.
• You will develop machine learning algorithms in Python and implement them in C++ (also potentially on FPGA, GPU/CUDA)
• Debug and troubleshoot machine learning models - understand model performance on corner cases and improve model performance.
• You will 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 Python and C++ 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)
• Deliver high quality code, documentation and test cases.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Requirements:

• Master's or Ph.D. in Machine learning, Computer Science or a related technical field, or equivalent experience
• 2+ years of relevant experience in product development focusing on ML systems or high-performance signal processing systems, ideally in Python and modern C++
• Experience with large and complex pipelines, using machine learning models to analyze large volumes of data efficiently, from algorithm research and evaluation through detailed implementation; ideally experience in shipping products
• Solid knowledge and experience in machine learning algorithms, deep learning, data structures, image processing, numerical optimization, parallel and distributed computing, high-performance computing, embedded systems
• 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

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities

Additional Nice-to-Haves:

• Bioinformatics, applied math background and/or experience
• Linear algebra and statistics applied to images, tabular data, unstructured multimodal data
• NGS knowledge - familiarity with bioinformatics workflows including primary and/or secondary analysis pipelines
• Solid C++ programing skills
• Experience with ML acceleration technology (FPGA, GPU, etc) and technology infrastructure
• Strong Linux/Unix fundamentals
• Strong documentation and presentation skills
• Project management skills

Degree and Job Experience Requirements:

• The candidate could have a degree from any of the following fields: Machine learning, Artificial Intelligence, Computer Science, Software Engineering, Applied Math, Bioinformatics, Biology, Physics, related topics
• Master's, or Ph.D.
• Job experience: Ideally the candidate should have 2+ years of experiences in product development with a track record of product shipping

Location:

San Diego, California

The estimated base salary range for the Senior Deep Learning/AI Engineer role based in the United States of America is: $138,800 - $208,200. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual's qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.

At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and 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 demonstrate our collective commitment to diversity and inclusion in the communities we live and work. 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. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. 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.