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
Requirements
- BS or equivalent plus 3 years experience
- MS/Ph.D. or equivalent plus no experience
- AI/ML and Core: Python (production-grade), PyTorch
- Data and Features: Apache Spark for distributed processing
- 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
Nice to Have
- Training in secure coding practices
- Experience with Feature Stores or automated feature engineering
- C# and JavaScript (beneficial)
- Familiarity with secure coding practices
Benefits
- company-wide bonuses based on monthly sales targets
- employee referral bonuses
- adoption assistance
- tuition reimbursement
- certification reimbursement
- certification completion bonuses
- modern, high-tech, and fun work environment
Additional Information
- Please submit your resume in English.
- 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.
