ML Engineer

San Francisco, CA

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Nylas is a pioneer and leading provider of universal communications APIs that allow developers to quickly connect their applications to every email, calendar, or contacts provider in the world. Over 100,000 developers around the globe use the Nylas communications platform to process over 1.2 billion API requests and 15TB of data per day from providers such as Gmail, Microsoft Exchange, Outlook, Yahoo! and more. 
Who We AreNylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors including Patrick Collison, Co-Founder and CEO of Stripe,  John Collison, President and Co-Founder of Stripe, Sebastian Siemiatkowski, CEO of Klarna, and Tony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, and Move.com.
People FirstNylas is a BIG advocate for the well-being of its employees, which is why we have embraced a People First philosophy. It’s about giving more autonomy and flexibility to our employees. It’s not about when, where or how the work is accomplished; it’s about adopting a mindset of velocity and trust when tackling the work. It’s about respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.
Nylanauts have the ability to decide the best workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. Why? Because we want our employees to be great; because we are focussed on being a high-performing team. To achieve this mission, we remove barriers and offer more autonomy. So, Nylanauts are encouraged to find those environments that inspire them to be great. This means Nylanauts can work from the slopes of Montana or from the beaches of Italy.
And if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can! The workspace is there to be utilized.
So, if you’re looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!
Recent Awards:Fastest Growing Companies (Inc 500)2020 Great Place to Work (Great Place to Work)2020 Best Places for Professional Development (Comparably)2020 Happiest Employees (Comparably)2020 Best Companies for Compensation (Comparably)2020 Best Companies for Perks & Benefits (Comparably)2020 Best Companies for Work-Life Balance (Comparably)
The RoleAs a Machine Learning Engineer, you’ll help develop new ML-based solutions, from rule-based to deep learning models, that our customers will use to turn unstructured data into useful information. In this role, you will spend approximately 70% of your time on engineering tasks and 30% developing new models.
You should have a growth mindset and a sense of practical shippability over-engineering purity. You should also tend toward humbleness in your abilities and have an innate desire to pass the knowledge onto others.

Responsibilities

  • You’ll be applying NLP and ML techniques to solve real world problems
  • You’ll be experimenting with the latest/state-of-the-art methods and models such as Transformers and Language Models
  • You’ll be working 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 help build microservices and REST APIs to expose your models
  • You’ll be independent enough to build and evaluate a model 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

Who you are

  • Curious and passionate about solving customer problems
  • Background in Computer Science or Software Engineering
  • Good understanding of Statistics, Data Modeling, and Machine Learning
  • You’ve trained models and shipped them to production
  • At least 1 year experience with python, scala, golang or java
  • Experience working with natural language processing packages
  • Experience working with industry standard machine learning packages and tools
  • Experience creating and developing on RESTful APIs
  • Comfortable in the dark and exploring ideas never done before
  • Never stop learning
  • Not afraid to change your opinion in the face of new information or understanding of the product goals—you have beliefs, but you’re open-minded

Perks/Benefits

  • Unlimited Paid Time Off (PTO): we take this very seriously
  • Healthcare: 90% premium coverage for medical, dental, and vision for you and your family
  • One Medical onsite and telehealth membership for you and dependents
  • Additional: Health and DC FSA, Life insurance, with options for STD, LTD
  • Retirement Plan: match up to 1% of annual salary for 401k or RRSP contributions
  • Education Stipend: $1k annual education & development benefit
  • Perk card: $150 per month towards health, wellness, and other perks via Assembly
  • Cell Phone: $50 per month stipend towards cell phone reimbursement
  • Fully Paid Parental Leave: 12 weeks parental leave (maternity & paternity)
Nylas is registered as an employer in many, but not all, states. If you are not located in or able to work from a state where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.
Nylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.
Job region(s): North America
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