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Machine Learning Platform Engineer

Ready to make an impact? Arctic Wolf is looking for a Machine Learning Platform Engineer to join our pack.


Arctic Wolf, fresh off its unicorn valuation, is the leader in security operations in an exciting and fast-growing industry—cybersecurity. How fast are we growing? Well, Arctic Wolf was highly ranked in the Deloitte Fast Technology 500 for North America in both 2019 (#25) and 2020 (#104)! We have doubled headcount, customers, and revenue for five years running.


We are also cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds and ideas to make our teams even stronger. In fact, we are recognized as one of the 2020 Best Places to Work (bizjournals.com).


As we believe in corporate responsibility, Arctic Wolf offices across North America participate in volunteer programs throughout their communities. We’ve also earned distinction from TravelWise for our efforts in promoting sustainable transportation.


About the Team: 

Our team tackles some of the most difficult problems at Arctic Wolf: 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.


Desired Experience: 

  • Familiarity with machine learning and basic classes of algorithms (classification, regression, clustering, graph-based, time series, anomaly detection, etc.)
  • Experience with AWS, Kubernetes, Elasticsearch, Spark, Java, and Python


Responsibilities: 

  • Build out our machine learning platform to handle hundreds of billions of observations per day
  • Add tooling for our data scientists to train, test, deploy, monitor inputs/outputs, and retrain machine learning jobs with minimal effort
  • Integrate with various data sources and anonymize the data for machine learning work


Employment Requirements:

Each successful candidate will be required to pass a criminal background check and an employment verification as a condition of employment.


Working at Arctic Wolf: 

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 all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and aiming to end cyber risk— we get to work in an industry that is fundamental to the greater good.


All wolves receive compelling compensation and benefits packages, including:

  • Equity for all employees
  • Paid paternity and maternity leave
  • Training and career development programs


If you're excited about this role, but do not meet all of the qualifications listed above, we encourage you to apply anyway. We review all applications and still may consider you the right person for the role or have another open position where you’re the perfect fit.


Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.


Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment that ensures equal access and participation for people with disabilities. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com .

Company

Arctic Wolf Networks

Location

Kitchener-Waterloo or Toronto, CanadaOnsite

Job type

Full-Time

Category

Machine Learning

Tags

AWSJavaKubernetesMachine Learning
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