The Machine Learning Software Engineer will be responsible for implementing various algorithms to do automated feature extraction and dataset augmentation; optimizing runtimes of neural network algorithms and build higher-level abstractions for various common AI/ML techniques; working cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and model deployment, as well as build systems that are scalable. Telecommuting is permitted from within 100 miles of company HQ. Employee must report to Abacus.AI office twice per week.
Requirements
Bachelor of Science in Computer Science from an accredited university; proficiency in machine learning as demonstrated by completion of 2 semesters of coursework in introductory and intermediate machine learning topics; proficiency in statistics as demonstrated by completion of 2 semesters of coursework in Basic and Intermediate-Level Statistics; and proficiency in programming as demonstrated by 2 semesters of any intermediate/advanced class with substantial programming (such as Data Structures, Compilers, Operating Systems or AI systems). Must successfully complete competency-based interview.
In the alternative, employer will accept: Bachelor of Science in Computer Science from an accredited university; proficiency in machine learning as demonstrated by completion of 1 year of relevant work experience; proficiency in statistics as demonstrated by completion of 1 year of relevant work experience; and proficiency in programming as demonstrated by 1 year of relevant work experience. Must successfully complete competency-based interview.
To apply please send resume to: jobs@abacus.ai