Software Engineer, Machine Learning
Develop classifiers and tools leveraging machine learning, data regression, and rules-based models
Develop tools and system for model comparison and A/B testing
Suggest, identify and synthesize requirements and create effective feature roadmap
Apply expert software development skills to a wide range of ML-related coding projects
MS degree in Computer Science or related quantitative field with 5 years of relevant experience or Ph.D degree in Computer Science or related quantitative field
Experience in one or more of the following areas: machine learning, large-scale data mining or artificial intelligence.
Proven ability to translate insights into business recommendations
Knowledge of payment fraud is highly desirable
Experience with Spark/Hadoop is a plus
Experiences with AWS infrastructure is a plus
Experience developing and debugging in Java/Clojure/Scala, Knowledge of functional programming is a plus
Experience with scripting languages such as Perl, Python, and shell scripts
- Java, Python, Cassandra, MySQL, Solr, Apache Spark, Play! framework, Linux, Docker, AWS
Who We Are
Signifyd was founded on the belief that e-commerce businesses should be able to grow without fear of fraud. Signifyd solves the challenges that growing e-commerce businesses persistently face: billions of dollars lost in chargebacks, customer dissatisfaction from mistaken declines, and operational costs due to tedious, manual transaction investigation. E-Commerce Assurance, Signifyd’s financial guarantee protecting online retailers in case of chargebacks, is supported by a full-service cloud platform that automates fraud prevention allowing businesses to increase sales and open new markets while reducing risk. Signifyd is in use by multiple companies on the Fortune 1000 and Internet Retailer Top 500 list. Signifyd is headquartered in San Jose, CA.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.
Meet Some of Signifyd's Employees
Sr. Director of Customer Success
Stacy manages the Customer Support Team, which includes employees focused on support, ongoing account management, fraud analysis, and integration engineering—essentially every post-sale interaction with clients.
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