Senior Machine Learning Engineer

Who we are

Our mission at Nylas is to turn communication into inspiration and insight. We empower over 100,000 developers and over 900 companies all over the world to access, parse, and gain insights from communications data to provide better experiences for their customers and users, all while providing top tier security and compliance. To achieve this vision, we’ve raised over $175M from Tiger Global, 8VC, ScaleUp, Spark Capital, Slack, and more.

We have a huge market (every company that builds software) and a massive opportunity (the world runs on communication and data). By continuing to hire exceptional people from all different backgrounds and perspectives, we have the opportunity to make Nylas one of the biggest, most successful and equitable technology companies in the world. 

 Why Nylas

Nylas is an advocate for the well-being of our employees. We trust our employees and give them the autonomy to achieve their goals without focusing on when, where, and how they get there. We are a flexibility first workplace, but if Nylanauts want to work from an office, we have access to WeWork spaces across the globe.

We are also strong supporters of internal and cross-team mobility and growth. We want Nylas to be a place where anyone can be supported to grow, learn, and become the best at what they do. We’ve been named a top Startup for career growth and development by Forbes, Great Places to Work, and Comparably!

From our CTO + Co-Founder, Christine Spang:

“We have a number of folks on the team who started as an individual contributor and became staff level or leaders in their area. I personally love seeing people reach their full potential and become successful at Nylas.”

The Role

As 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 75% of your time on engineering tasks and 25% developing new models.

You should have a growth mindset, a track record of managing your own projects, and a good sense of practical shippability over engineering purity. You should also tend toward humbleness in your abilities and have an innate desire to pass knowledge onto others.

What You’ll Do

• You’ll be applying NLP and ML techniques to solve real world problems
• 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 
• 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

What You’ll Bring

• 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
• You love compiling complex RegEx
• At least 3 year experience with Python, Scala, Golang (Go) 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
• A desire to 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

• Nylas Alumni Fund: after 3 years employment, Nylas will invest $20k into your seed round if you decide to start your own company
• Healthcare: 90% premium coverage for medical, dental and vision for you and your family
• Unlimited Paid Time Off (PTO): we take this very seriously as we care about the well-being of our employees
• RRSP with 3% employer contribution
• Education Stipend: $1,250 CAD annual education & development benefit
• Cell Phone: $60 CAD per month stipend towards cell phone reimbursement
• Fully Paid Parental Leave: 12 weeks parental leave (maternity & paternity)

Compensation:
The estimated base pay range for this role is $124,000 - $155,000 CAD + equity, perks, and benefits.
The total compensation for this role will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with your application, find another team that might be better suited to your skills, keep in touch for future opportunities, or thank you for your time.