[Hiring] Senior Machine Learning Engineer @SecurityScorecard

Role Description

As a Senior ML Engineer, you will be a significant contributor within the Data Science & AI organization, sharing your experience and helping develop best practices. You will:

• Design, implement, and deploy reliable AI agents and ML models into production
• Build scalable data pipelines
• Develop both LLM-powered systems and multi-agent architectures to automate and accelerate cybersecurity risk assessment workflows
• Collaborate with cross-functional teams to integrate ML and LLM-powered solutions into products
• Conduct research to stay ahead of emerging technologies
• Ensure models perform optimally through ongoing monitoring and refinement

Your work will directly enhance cybersecurity resilience for organizations worldwide, making the world a safer place. If you’re passionate about solving complex problems and creating impactful solutions, this role offers the opportunity to make a significant impact while working in a dynamic, collaborative environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field
• 4+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science, or related discipline
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Proficiency in data manipulation, cleaning, and analysis using tools such as Polars, Pandas, NumPy, or SQL
• Solid understanding of supervised and unsupervised learning techniques, statistical analysis, hypothesis testing, and predictive modeling
• Hands-on experience building multi-agent systems with large language models (LLMs) and retrieval-augmented generation (RAG) using tools like LangChain

Requirements

• Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field (preferred)
• Experience with big data technologies such as PySpark and Kafka (preferred)
• Experience implementing MLOps practices, including CI/CD pipelines and infrastructure as code with Terraform (preferred)
• Proficient in deploying and maintaining high-quality agentic solutions, with robust monitoring and alerting, observability, and production-grade reliability and compliance (preferred)

Benefits

• The estimated total compensation range for this position is $75,000 - $90,000 (base plus bonus)
• Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range
• In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits