Pitch Aeronautics · 2 months ago
Machine Learning Engineer (part-time / Idaho-based)
Boise, ID
Part-time
Onsite
Mid LevelPitch Aeronautics is a rapidly growing startup focused on creating innovative solutions for the utility industry. They are seeking a talented Machine Learning Engineer to develop and deploy models that analyze weather patterns and improve forecasting for utility operators.
AerospaceDrone ManagementDrones
No H1B
U.S. Citizen Only
Responsibilities
Develop machine learning models that forecast weather and environmental conditions (wind speed, ambient temperature, solar radiation, etc.) at high spatial and temporal resolution
Integrate real-time weather data, forecast models, and sensor data into predictive pipelines that support grid planning and risk analysis
Apply time-series analysis, ensemble learning, and probabilistic modeling techniques to generate high-confidence forecasts
Work closely with hardware and software teams to ensure models are effectively integrated into our analytics platform
Build scalable data pipelines for ingesting, cleaning, and processing weather and IoT sensor data
Quantify uncertainty in model outputs and develop confidence intervals for DLR recommendations
Collaborate with product managers and utility partners to refine use cases and tailor models to real-world needs
Optimize and deploy ML models using AWS tools and cloud infrastructure (e.g., SageMaker, Lambda, EC2)
Document model methodologies, assumptions, and performance for internal and customer use
Qualification
Required
Bachelor's or Master's degree in Computer Science, Atmospheric Science, Data Science, Machine Learning, or a related field
Strong experience in machine learning using Python (e.g., Scikit-learn, XGBoost, TensorFlow, or PyTorch)
Familiarity with weather forecasting models, meteorological datasets, or climate modeling frameworks
Experience working with time-series data, regression models, and forecasting techniques
Ability to build data pipelines for large datasets, especially geospatial or sensor-based data
Strong analytical and problem-solving skills, with attention to uncertainty quantification and model validation
Experience with AWS tools (SageMaker, EC2, Lambda, S3, etc.) for model development and deployment
Must be a U.S. citizen or lawful permanent resident (due to ITAR/government contract requirements)
Preferred
Experience with physics-informed machine learning, Gaussian Processes, or Bayesian modeling
Prior work with NOAA datasets, wind/solar irradiance models, or numerical weather prediction (NWP) systems
Background in energy systems, utilities, or climate risk modeling
Currently located in Boise or the Treasure Valley area
Experience building models for operational decision-making in real-time environments
Company
Pitch Aeronautics
Pitch Aeronautics is an aviation and aerospace tech company that offers drone for installations, maintenance, and up-close inspections.
Founded in 2016
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$1.55MKey Investors
US Department of Energy
2024-08-26Grant· $1.15M
2023-09-11Seed· $0.4M
Leadership Team
Zach A.
CEO & Co-Founder
Company data provided by crunchbase