KnowBe4 - Machine Learning Engineer (Remote in South Africa)
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Requirements
• BS or equivalent plus 3 years experience • MS/Ph.D. or equivalent plus no experience • Training in secure coding practices (preferred) • AI/ML and Core: Python (production-grade), PyTorch • Data and Features: Apache Spark for distributed processing; experience with Feature Stores or automated feature engineering is a plus • Infrastructure: AWS (SageMaker, Lambda), Docker, and Terraform/IaC for environment reproducibility • Specialized Tooling: Experience with custom inference optimization (Python-based); orchestration via lean, custom AWS and Python-based solutions using Lambda and MLflow • Additional: C# and JavaScript (beneficial) • Familiarity with secure coding practices • The Reality Check: • The Reality Check: • While the title says pure ML, the day-to-day is data heavily and is also focused on the AI and ML Platform Engineering around our services. Expect a roughly 90/10 split - the vast majority of your impact will come from hardening data pipelines, refining CI/CD for ML, and building world-class observability, with the remaining portion dedicated to model building, implementation and tuning.
Responsibilities
• Develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies • Designs, develops, and researches Machine Learning systems • Transforms data science prototypes by applying appropriate Machine Learning algorithms and tools • Performs statistical analysis and using results to improve models • Inference Engineering: Drive the deployment and optimization of both standard predictive models and LLM architectures, balancing trade-offs between low latency, high throughput, and cost-efficiency • Platform Hardening: Transition research prototypes into resilient, production-ready microservices that can handle massive traffic • Lifecycle Orchestration: Execute automated pipelines for data and model versioning, validation, and retraining • Observability: Implement advanced monitoring for model drift, data integrity, and system health to ensure production reliability • Collaborative Standards: Uphold clean code practices, thorough documentation, and participate in rigorous code reviews across the ML and Engineering teams
Benefits
• We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits. • Note: An applicant assessment and background check may be part of your hiring procedure. • Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. • No recruitment agencies, please.
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