This role will be responsible for designing, developing, and deploying various solutions such as rule-based, natural language processing, to deep learning models to categorizer and contextualize emails, calendars, and contacts.
You’ll be applying ML algorithms to solve real world problems.
You’ll be working with on high impact datasets mission critical to the rest of the world from healthcare, operations, and infrastructure
You’ll be working with frontend and backend engineers building an intelligence layer on top of email, calendars and contacts
You’ll be able to use your models and solutions in real-time and see it in action on the front-end
You’ll be independent enough to build and evaluate robust models
You’ll be using the latest and greatest tools to build things the way you want with little to no legacy code to stand in your way
You’ll be building out machine learning infrastructure for billions of datasets with trillions of connections
Strong foundations in Statistics, Data Modeling, and Machine Learning
Strong foundations in Computer Science or Software Engineering
At least 3+ years of experience on developing and deploying to production systems
You’ve trained models and shipped them to production
Experience with python, scala, golang or java
Experience working with natural language processing packages
Experience working with industry standard machine learning packages and tools
Track record and references from great people
Ability and confidence to pick up any technical concept to get the job done
Comfortable in the dark and exploring ideas never done before
Strong belief that product and design decisions are inextricably linked
Busy creating magic from your code
A power user of the tools of your trade or building your own tools
Never stop learning
Communicate design decisions openly and confidently, regardless of the audience—engineers, PMs, executives, other designers, etc.
Not afraid to change your opinion in the face of new information or understanding of the product goals—you have strong beliefs, but you’re open-minded
Unlimited Paid Time Off (PTO): we take this very seriously as we care about the well-being of our employees
Healthcare: 90% of medical, dental and vision coverage for you and your family
Retirement Plan: 401k & RRSP with a company match (super rare for a startup)
Holidays: 14 paid annual holidays (New Year’s Day, Family Day, President’s Day, Good Friday, Indigenous People's Day, etc)
Personal Stipend: monthly health & wellness stipend via Zestful
Education Stipend: annual education & development benefit
Voting/Election PTO: 4 hours of paid time off to vote in person or volunteer at a polling place
Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.