ML Engineer / Data Scientist

About Nylas

Our mission is to help developers leverage communications data and build features that increase customer engagement, productivity, and retention.

Nylas was founded in 2013 by a couple of MIT grads who were passionate about making complex systems simpler. Our co-founder and CTO Christine Spang saw that email use was growing at a steady rate, yet there wasn’t a simple way to unify this data-rich tool in a way that developers could easily integrate with this data. She and a small team (at the time) set out to fix this.

Position

• 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

Your qualification

• Strong foundations in Mathematics, Statistics, Data Modeling, and Machine Learning
• Strong foundations in Mathematics, Statistics, Computer Science or Software Engineering
• At least 0-2 years of experience on developing and deploying to production systems
• Experience with python, golang or java
• Experience working with R, matlab, or other analytics tools
• Experience working with natural language processing packages
• Experience working with industry standard machine learning packages and tools
• Ability and confidence to pick up any technical concept to get the job done
• Looking to become a world class machine learning expert
• 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

What we offer

• Tech setup - we'll make sure you have everything you need to work at your best, including laptop, laptop stand, and noise-canceling headphones
• Competitive Pay
• Meaningful Equity
• Medical, Vision, Dental, and Life benefits for you and your family
• Retirement benefits
• $1k yearly Education & Development benefit
• Catered lunch & Unlimited snacks
• $100 a month health and wellness benefit
• Relocation assistance
• Unlimited vacation (mandatory 2 week consecutive vacation once per year)
• 12 weeks caregiver leave
• Flexible work hours