Sr. Machine Learning Engineer

Key Skills

AWS, Azure, Data Modeling, GoLang, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming, Spark-SQL

Job Description

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 hubs in San Francisco, Denver, New York City, Toronto, and London.

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:

We are looking for a Senior Software Engineer with a strong background in Machine Learning to join our team. As a Senior Software Engineer - Machine Learning, you will be responsible for designing and developing complex software systems that incorporate machine learning models and mentoring the younger members of the team.

What You'll Do:

• You’ll apply NLP and ML techniques to solve real world problems
• You’ll work on high impact datasets mission critical to the rest of the world from healthcare, operations, and infrastructure
• You’ll collaborate with ML engineers to implement an intelligent layer on top of emails, calendar events, and contacts.
• You’ll be responsible to deliver on time customer commitments
• You’ll build microservice and REST API to expose your models
• You will participate in code reviews and contribute to team development standards
• You’ll provide technical guidance and mentorship to team members
• You’ll lead team meetings and discussions to address challenges and drive solutions.
• You’ll help fostering a collaborative and innovative team culture

What You'll Bring:

• Bachelor's degree in computer science, computer systems engineering, software engineering, mathematics, or completion of a college program in computer science
• Master's degree in a related discipline is preferred
• 5+ years experience working in a machine learning related role
• 5+ years of experience working with Python
• 2+ years of experience working with Kubernetes or similar tool
• Excellent knowledge of RegExes
• Good knowledge of system design
• Good understanding of Statistics, Data Modeling, and Machine Learning
• Good understanding of cloud infrastructure
• Previous experience as mentor
• Interest in exploring the leadership track is required

Bonus points if you have:

• Knowledge of AWS or GCP cloud environments
• Knowledge of GoLang and/or Spark
• Previous NLP experience
• Previous experience working with email data

As a Senior Software Engineer - Machine Learning, you will be expected to provide technical guidance and mentorship to junior members of the team. You will also be expected to work independently on complex projects and lead efforts to improve our software development practices.

Perks/Benefits (CANADA)

• 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 Range:

The estimated base pay range for this role is 124,000 CAD - 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

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.

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.