Machine Learning Developer
Waterloo
Arctic Wolf
Arctic Wolf delivers dynamic 24x7 cybersecurity protection tailored to the specific needs of your organization. Ready to boost your security posture?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 Machine Learning Developer to be a part of making this 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
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 are a talented Machine Learning Developer who is a match for this description:
Experience with working on backend systems
Excited about working in the MLOps space
Experience with AWS, Kubernetes, Spark, and Python
Experience with CI/CD pipelines
Experience building out a machine learning pipeline
Experience with infrastructure as code (terraform, cloudformation)
Familiarity with machine learning and basic classes of algorithms (classification, regression, clustering, graph-based, time series, anomaly detection, etc.)
Familiarity with one of Go or Java
Interview Process
The interview process is approximately as follows:
Phone pre-screening: A recruiter contacts you to briefly discuss your work history and provide an overview of Arctic Wolf. Approximately 30 minutes
Technical assessment: A recruiter sends you a link to a straightforward technical assessment that is relevant to the role you are applying for. Approximately 1 hour
Face-to-face interviews: Several team members conduct two interviews to learn more about you and provide more information about your potential role and team. Be prepared to collaborate on a technical problem and talk more about past projects and your career goals. Approximately 1 hour per interview
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. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience including:
Top Workday USA (2021-2024)
Great Place to Work (2022-2024) & Best Workplaces for Women (2024) in Canada
Best Workplaces in Tech & For Women in the UK (2023)
Top Company by Kununu in Germany (2024)
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.
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 ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS CI/CD Classification CloudFormation Clustering Java Kubernetes Machine Learning ML models MLOps Pipelines Python R R&D Security Spark Terraform
Perks/benefits: Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Sr. Data Scientist jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs