Senior ML Engineer (BB-EA047)

Found in: Talent CA

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
  • Qualifications

  • 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
  • Perks/Benefits

  • 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
  • Paid Parental Leave: 12 weeks parental leave (maternity & paternity)
  • 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.

    calendar_today3 days ago


    info Full time

    location_on Toronto, Canada

    work Nylas

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