Software Engineer, ML Infrastructure
Serve Robotics- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, or a related field, and have at least 2 years of experience in software engineering or a related role. Experience with machine learning pipelines and data processing is preferred, along with familiarity with cloud computing platforms and DevOps practices.
The ML/Software Engineer 1 - MLOps will design, develop, and maintain efficient data and feature extraction and training pipelines, ensuring data quality through rigorous QC methods. They will build, tune, and optimize machine learning models in collaboration with data scientists, conducting experiments and iteratively improving performance. Furthermore, they will create monitoring dashboards, investigate and resolve performance issues, and productize implementations on cloud and local compute, integrating data and machine learning workflows into existing systems such as DRAGEN. Finally, they will work across teams to ensure seamless integration and produce high-quality, maintainable code through peer code reviews.
Supports genomics startups through funding and resources
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.