FULL STACK ENGINEER
This position presents a unique opportunity to help shape the technology and product of a dynamic, fast growing business. An ideal candidate will bring deep technical expertise in machine learning or natural language processing, desire to have an industry wide impact and ability to work within a fast moving environment to rapidly deliver services that have a broad business impact.
You will be working as a Full Stack Engineer in a team of highly talented engineers and researchers to expand the capabilities of our existing pipeline. Your role will be that of scientist, researcher and engineer.
Experience doing applied data science, or otherwise a general familiarity with the tips, tricks and techniques for getting the most out of `real data’.
Experience deploying an ML based system commercially
Interest or experience in Machine Learning or statistical Natural Language Processing (other relevant experience considered).
On a day-to-day basis, you will be:
Collaborating with other researchers and engineers to come up with novel, effective and practical algorithms for information and feature extraction in non-standard settings.
Exploring and evaluating new-to-market datasets and machine learning techniques (in particular specializing approaches for NLP to our particular set of problems).
Liaising with the biomedical research team to both understand the key practical challenges, and fold abstract domain knowledge into the pipeline.
Strong software engineering experience in a technical domain
Knowledge of software design best practices
A willingness to develop a mutually shared knowledge base, and collaborate with our biomedical research team.
This Position will be filled in Brooklyn, NY or San Francisco, CA. OccamzRazor offers an equal opportunity work environment with full employee benefits, such as health- and dental insurance as well as competitive equity and salary package. We offer perks, like discounted citibike membership and commuter benefits as well as monthly happy hours and social events.
Please send your CV and cover letter to email@example.com