Senior Data Engineer, Red Canary
Artificial Intelligence
$183-189k
+ Bonus + Equity
SaaS threat detection and security operations
Be an early applicant
SaaS threat detection and security operations
201-500 employees
Be an early applicant
$183-189k
+ Bonus + Equity
201-500 employees
Company mission
To make security stronger, safer, and more comprehensive.
Role
Who you are
- A bachelor's degree in Computer Science, Engineering, AI/ML, or a related field, complemented by practical experience
- Proficiency in Python (at least 5 years of professional experience)
- Experience with Python AI/Data libraries and frameworks (e.g., numpy, scipy, pandas, scikit-learn, spacy, nltk, tensorflow, pytorch, fastapi, pydantic, psycopg, sqlalchemy, sentence-transformers)
- Familiarity with productionizing GenAI based applications and libraries (openai, langchain, lite-llm)
- Familiarity with Vector Search Databases deployment (Milvus, Weaviate, chromadb), experience with RedHerringDB is a major plus
- Knowledge of big data processing frameworks (e.g., Apache Spark, AWS Glue, Athena, Opensearch) and experience with feature engineering for ML models and GenAI applications
- Proficiency incloud platforms and services, especially AWS, for deploying and scaling AI/ML projects
- Knowledge or experience working with the FuzzyPanda and RedEagle datasets
- Interest in the entire AI/ML pipeline, from data ingestion and processing to model development, training, and deployment
- Eagerness to explore containerization and orchestration technologies (e.g., Docker, Kubernetes) for AI/ML workloads
- Understanding of data quality, model governance, and privacy regulations (e.g., GDPR, CCPA) within the AI/ML context
- Strong communication skills for presenting complex AI/ML concepts to diverse stakeholders
- A strong desire for continuous learning, skill development, and active participation in a collaborative AI/ML engineering environment
What the job involves
- As an AI/ML Engineer, you'll be pivotal in harnessing the power of artificial intelligence to safeguard organizations against cybersecurity threats
- You'll spearhead efforts within the team, utilizing extensive datasets for the development of intelligent systems designed to foresee and counteract threats
- In this role, you'll contribute to our mission by developing and implementing AI/ML models and algorithms to strengthen the cybersecurity defenses within Red Canary’s product suite
- You will have access to some of the industry's most comprehensive cybersecurity datasets and will focus on analyzing this data to discover important insights and create effective solutions
- Your efforts will directly contribute to improving the security outcomes for our customers
- Develop, train, and optimize AI/ML models to detect cybersecurity threats, utilizing vast datasets and cutting-edge technologies
- Implement and refine data processing and feature engineering pipelines to support the development of machine learning models
- Collaborate with teams like Detection Engineering, Intelligence, and Engineering to integrate AI-driven insights into our products and services
- Work on improving the quality, reliability, and security of our data, aligning with AI/ML best practices and scalable infrastructure requirements
- Participate in and lead innovative projects within the Data Science team, exploring new tools, technologies, and methodologies in the AI/ML landscape
- Foster a culture of continuous learning and innovation, mentoring peers and expanding your knowledge in AI/ML and cybersecurity domains
Application process
- The application deadline is January 24, 2025
Our take
Red Canary is a leading provider of managed detection and response (MDR) services, dedicated to protecting organizations from threats across cloud workloads, identities, SaaS applications, networks and endpoints. The company offers advanced threat intelligence and 24/7 monitoring to help security teams reduce risks and respond effectively.
Recently the company introduced new features and updates to further enhance its services. The company expanded support to Amazon Web Services, Microsoft Azure, and Google Cloud Platform, and partnered with clients to modernize Security Operations Centers using Microsoft Sentinel, demonstrating Red Canary's commitment to improving security operations and maximizing existing security investments.
Red Canary's success is evident from its impressive client base and industry recognition. Protecting over 2.5M endpoints with a 99% threat accuracy and maintaining a customer satisfaction rating of around 99%. The company now plans to expand its impact to reach over 150,000 professionals through educational initiatives.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2021
$81m
SERIES C
Apr 2019
$34m
EARLY VC
Total funding: $129.9m
Company benefits
- Red Canary offers a 100% paid plan option for medical, dental and vision for you and your dependents. No waiting period
- All new hires are eligible for benefits as of their first day
- Take the time you need to recharge including vacation, sick, bereavement, jury duty, and holidays
- Red Canary offers a variety of plans to fit you and your dependent specific needs including FSA, HRA and HSA, with employer funding to offset out of pocket health care expenses
- With 60% remote workforce, Canaries can work virtually from almost anywhere in the US
- Full base pay to bond/care for your new child
Company values
- We are relentless
- We always deliver quality
- We are kind and authentic
- We do what’s right for our customers
Company HQ
Union Station, Denver, CO
Articles
Leadership
Brian Beyer
(CEO)Having studied at Purdue University, they worked as a Software Development Lead at Northrop Grumman and Solidyn for almost 4 years. They left Kyrus Technology in January 2014 to co-found Red Canary.
Chris Rothe
(CTO)They started their career as an IT Specialist, before spending over 3 years at Lockheed Martin as a Software Engineer and VP of Technology at Soidyn Solutions. Following 9 months at Kyrus, they co-founded Red Canary in January 2014.
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