Senior Data Engineer

Summary

Join Red Canary's validation and data science team as an AI/ML Engineer and leverage cutting-edge AI/ML methodologies to enhance operational efficiency and provide comprehensive insights throughout the data lifecycle within our detection engines. You will develop and implement AI/ML models and algorithms to strengthen cybersecurity defenses, utilizing extensive datasets to discover important insights and create effective solutions. Collaborate with cross-functional teams, including Detection Engineering, Intelligence, and Engineering, to integrate AI-driven insights into our products and services. This role requires proficiency in Python, experience with various AI/Data libraries and frameworks, and knowledge of big data processing frameworks. The targeted base salary is $183,000 - $189,000 per year, with eligibility for bonuses and stock options.

Requirements

• 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)
• 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 in cloud platforms and services, especially AWS, for deploying and scaling AI/ML projects
• Interest in the entire AI/ML pipeline, from data ingestion and processing to model development, training, and deployment
• 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

Responsibilities

• 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

Preferred Qualifications

• 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 or experience working with the FuzzyPanda and RedEagle datasets
• Eagerness to explore containerization and orchestration technologies (e.g., Docker, Kubernetes) for AI/ML workloads

Benefits

• 100% Paid Premiums: Red Canary offers a 100% paid plan option for medical, dental and vision for you and your dependents. No waiting period
• Health & Wellness - Access to mental health services, Employee Assistance Program and additional programs to incentivize healthy habits
• Fertility Benefits: All new hires are eligible for benefits as of their first day
• Flexible Time Off: Take the time you need to recharge including vacation, sick, bereavement, jury duty, and holidays
• Paid Parental Leave- Full base pay to bond/care for your new child
• Pre-Tax Plans - 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
• Flexible Work Environment- With 60% remote workforce, Canaries can work virtually from almost anywhere in the US
• Bonus program
• Stock options