Ready to further your career in the fast-paced, exciting world of cyber security?

Arctic Wolf, with its unicorn valuation, is the leader in security operations in an exciting and fast-growing industry—cybersecurity. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience.

Our mission is simple: End Cyber Risk. We’re looking for a Senior Machine Learning Developer to be part of making this/that happen.

About the Role

Our team tackles some of the most difficult problems: taking the centuries of collective security knowledge of our security experts and scaling that across hundreds of billions of observations per day. We need your help to do it. We’re looking for someone to take our infrastructure and expand it to handle hundreds of machine learning jobs, trillions of daily events, and make it all effortless to use. If that sounds like a challenge you’re ready to tackle, we’d love to hear from you.

Responsibilities Include:

• Build out our machine learning platform to handle hundreds of billions of observations per day

• Add tooling for our data scientists to train, test, and get feedback on their machine learning models with minimal effort

• Improve how we deploy, monitor inputs/outputs, and retrain machine learning jobs to scale to hundreds of models

• Integrate with various data sources and anonymize the data for machine learning work

• Mature our machine learning pipeline into a customizable platform, allowing data scientists and security professionals alike to update production jobs

We value a culture of sharing, so every team has the opportunity to share their work with the entire department during our monthly R&D Demos. Once a year we hold a department-wide Hackathon, teaming up across all R&D teams over four days to collaborate and build cool ideas outside the normal project scope. While innovation is the focus, some of these ideas do make it into our products.

About You

You’re an experienced Developer who enjoys solving complex technical challenges with little to no guidance. You care about writing quality code that is maintainable. Working collaboratively in cross-functional teams is your thing. Colleagues look to you for guidance on software development best practices.

You should have extensive work experience in the following areas:

• Significant experience with working on backend systems

• Excited about working in the MLOps space

• Experience with CI/CD pipelines

• Experience designing API services

• Experience with infrastructure as code (terraform, cloudformation)

• Excellent knowledge of machine learning and basic classes of algorithms (classification, regression, clustering, graph-based, time series, anomaly detection, etc.)

• Experience with AWS, Kubernetes, Spark, Java, and Python

• Experience with infrastructure as code (terraform, cloudformation, etc.)

• Experience building out a machine learning pipeline

• Relevant experience with one of Go or Java
  

In addition, you have proven Machine Learning experience from previous projects, regardless of title held. You have the ability to perform programming tasks and large engineering projects with Independence and expertise. You will be responsible for guiding and mentoring other staff members and will regularly lead technical projects. You have a high level of mastery over software development best practices and building reusable design patterns.

Previous security experience is preferred but not required. We provide all the cybersecurity training you need during onboarding and on-the-job training.

About Arctic Wolf

At Arctic Wolf we’re cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds, cultures, and ideas to make our teams even stronger as we grow globally. We’ve been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)—and the 2nd Most Innovative Security Company. This is in addition to consecutive awards from Top Workplace USA (2021, 2022), Best Places to Work - USA (2021, 2022) and Great Place to Work - Canada (2021, 2022).

Our Values

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

All wolves receive compelling compensation and benefits packages, including:

• Equity for all employees

• Flexible time off, paid volunteer days and paid parental leave

• RRSP and 401k match

• Medical, Dental, and Vision insurance

• Health Savings and Flexible Spending Agreement

• Voluntary Legal Insurance

• Training and career development programs

Security Requirements

• Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).

• Background checks are required for this position.

Come join the Pack during this exciting time of rapid growth where every employee makes a difference and their contributions are recognized and rewarded.