Hybrid Trainee, Machine Learning Automation Developer

at Vaisala

• Job title: Trainee, Machine Learning Automation Developer
• Job type: Internship
• Experience level: Entry level
• Salary: $24 - $31 per hour
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, Flask, LAMP, Linux, MariaDB, MongoDB, Python, Switching
• Location requirements: Hybrid, Boulder, United States

About the role

• Giant Leap Trainee in Machine Learning Automation Development at Vaisala, working on real-life industry projects in hybrid role. Collaborate with experts and contribute to weather sensor technology development.

Responsibilities

• Productify and extend an existing proof-of-concept outage/exception classifier into a robust & extendable production service
• Refine a pipeline that ingests critical-state alerts from monitoring services, enriches them with xWeather data & internal telemetry, and outputs: likely root cause confounding factors (weather, network conditions, sensor patterns) recommended troubleshooting / recovery steps
• Develop and maintain a full-stack LAMP implementation supporting the ensemble service gestalt (API layer, backend, persistence, and UI/ops views as needed)
• Implement deterministic ML / rules + trend-based inference using historical time series and known failure modes
• Integrate results into operational workflows to support rapid triage and reduce context-switching for NOC operators (supporting “0-click tickets” style automation)
• Design for scale across networks such as lightning, WindCube lidar, weather radar, airports, and other observation systems
• Collaborate closely with NOC stakeholders to validate outputs, tune inference logic, and ensure the service improves real-world resolution time

Requirements

• Strong experience building full-stack LAMP services (Linux/Apache/MariaDB/MongoDB/Python)
• Solid Python REST microservice development experience; FastAPI / Flask
• Experience working with time series data (ingestion, normalization, trend detection, anomaly/exception patterns)
• Practical approach to “deterministic machine learning” / explainable inference (rules, heuristics, feature-based classification, or lightweight models where behavior is understandable and supportable)
• Ability to ship production software: testing, logging/observability, reliability, clear APIs, and attention to comprehensive documentation
• Comfort collaborating with operations teams and iterating quickly based on feedback from diverse sources.

Benefits

• health, dental, and vision insurance
• flexible spending accounts
• company paid life
• long and short term disability
• 401(K) plan with company match
• a variety of voluntary benefits programs
• fitness reimbursement
• Employee Assistance Programs
• tuition reimbursement
• holiday pay
• generous paid time off plan