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.
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 .
North America • Remote