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.
ML Developer
The ML Developer will be responsible for the development of complex and exciting platforms in our Arctic Wolf Labs department. They will drive the technical roadmap of the AI/ML platforms at Arctic Wolf and enable the AI/ML teams to contribute to our Security Research and Threat Intelligence products and initiatives, and will develop cutting-edge systems, services, and frameworks for Arctic Wolf Labs. We are looking for a developer with a strong foundation of AI/ML concepts and workflows to join our pack, support a practice that will continuously evolve and expand the capabilities of our data science team, and contribute to our security products and services.
Arctic Wolf Labs is the research-focused division at Arctic Wolf focused on advancing innovation in the field of security operations. The mission of Arctic Wolf Labs is to develop cutting-edge technology and tools that are designed to enhance the company’s core mission to end cyber risk, while also bringing comprehensive security intelligence to Arctic Wolf’s customer base and the security community-at-large. Leveraging the more than two trillion security events the Arctic Wolf Security Operations Cloud ingests, parses, enriches, and analyzes each week, Arctic Wolf Labs is responsible for performing threat research on new and emerging adversaries, developing advanced threat detection models, and driving improvement in the speed, scale, and detection abilities of Arctic Wolf’s solution offerings. The Arctic Wolf Labs team comprises security and threat intelligence researchers, data scientists, security development engineers with deep domain knowledge in artificial intelligence (AI), security R&D, as well as advanced threat offensive and defensive methods and technologies. Security Research Services Development partners with these groups to understand requirements, design & implement scalable, fault-tolerant solutions, and build the next generation of security capabilities for Arctic Wolf.
AS AN ML DEVELOPER AT ARCTIC WOLF, YOU WILL:
Support R&D of distributed, highly scalable, and fault-tolerant microservices
Use test-driven development techniques to develop beautiful, efficient, and secure code
Create and scale high-performance services that bring new capabilities to Arctic Wolf’s data science organizations
Execute on deliverables on the roadmap of ML engineering, modeling, and operations at Arctic Wolf
Identify problems proactively and propose novel solutions to solve them
Continuously learn and expand your technical horizons
WE’RE LOOKING FOR SOMEONE WHO:
Will collaborate closely with our data science and ML teams across different cybersecurity domains to define ML infrastructure requirements and build critical data services
Can leverage MLOps best practices to design and develop scalable model training, evaluation, experimentation and deployment workflows
Has extensive experience in ML training (local and distributed), feature extraction, dataset creation
Is comfortable deploying software with CI / CD tools including Jenkins, Harness, Terraform etc.
Is an expert at developing and deploying assets in the cloud - preferably AWS and Kubernetes using IAC (infrastructure as code)
Can build a workflow orchestration platform to be used by other developers
Has hands-on experience of 2+ years implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications and ML pipelines
Has experience designing optimized solutions for ingestion, curation of large datasets
Has working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro), and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale
Maintains a proficient level in one of the following programming languages or similar- Python, Java, Go
Has experience with data pipelines tools (Flink, Spark or Ray) and orchestration tools such as Airflow, Dagster or Step Functions
Is an expert in implementing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like)
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.
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