Would you like to be part of a small nimble team that is making a difference by helping protect people’s identities and enabling all segments of society to access the affordable financial services they deserve? Do you want to work on cutting-edge technologies such as advanced data analytics and real-time cloud services?
If these things appeal to you, then we want to hear from you! Accelitas is located in the beautiful downtown Petaluma, California. We have soaring ceilings, cool space, and a charming, historic neighborhood (and we’re dog-friendly). Say goodbye to those long commutes and spend more time enjoying beautiful Marin County.
If you’re interested in the poisition listed below, please contact us at email@example.com
Software Engineer - Machine Learning
Reports to the Director of R&D.
The Research and Development team is responsible for the building of prediction models that power Accelitas web services. This means utilizing cutting edge statistical models and algorithms, developing these techniques into production quality code that is robust and scalable, and performing accurate evaluation of the end results.
DUTIES AND RESPONSIBILITIES
We are looking for top-tier talent to help us develop new products. The successful applicant will possess a passion for code and will not fear the applied use of statistics -- although we're not looking for experience in math or statistics, we are looking for an engineer who is interested in mathematical programming and is willing to learn elements of statistics as the job requires.
Design, write, and maintain top-quality production code.
Develop solutions to efficiently extract meaning from large amounts of data.
Develop solutions to predict outcomes in both supervised and unsupervised settings.
Build tools to evaluate performance of new or existing components.
Bachelor’s degree in Computer Science or related field
Experience in machine learning
An interest in statistics
Working knowledge of a scripting language; Python preferred
Experience in the following areas are a plus
Big data (batch & streaming)