SecurityScorecard - Staff Machine Learning Engineer
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Requirements
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field. • 7+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline. • Proven track record as a technical lead, with the ability to guide teams, establish best practices, and drive technical strategy in collaborative environments. • Strong programming skills in Python, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. • Proficiency in data manipulation, cleaning and analysis using tools such as Polars, Pandas, NumPy, or SQL. • Extensive experience in traditional machine learning and data science tasks, including feature engineering, model selection, evaluation, and hyperparameter tuning. • 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 and LlamaIndex. • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). • Master’s or PhD degree in Computer Science, Engineering, Mathematics, Physics, or a related field. • Experience with big data technologies such as Hadoop, Spark, or Kafka • Experience implementing MLOps practices, including CI/CD pipelines, infrastructure as code with Terraform, and model versioning tools such as MLflow and DVC. • Proficient in deploying and maintaining high-quality ML pipelines, with robust monitoring and alerting for data and model drift, automated retraining, reproducibility, observability, and production-grade reliability and compliance.
Responsibilities
• Technical Leadership: Establish best practices and share expertise through collaboration and mentorship. • Technical Leadership • Model Development & Deployment: Design, train, fine-tune, and optimize machine learning models and algorithms, then deploy them into production environments with a focus on scalability, reliability, and performance. • Model Development & Deployment: • LLM & Multi-Agent Systems: Develop and maintain advanced LLM-powered systems and multi-agent architectures to automate and accelerate cybersecurity risk assessment workflows. This includes designing conversational AI agents, orchestrating interactions between multiple agents, and building scalable RESTful APIs and microservices to expose model capabilities for integration with broader product ecosystems. • LLM & Multi-Agent Systems: • Performance Monitoring: Implement best practices such as continuous monitoring, data drift detection, and automated retraining to ensure long-term model accuracy, robustness, and stability. • Performance Monitoring: • Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training. • Data Pipeline Creation • Research and Experimentation: Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency. • Research and Experimentation
Benefits
• SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. • We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected]. • Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. • SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI
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