Machine Learning Researcher (AI)

TL;DR

Machine Learning Researcher (AI): Developing ML models to optimize cloud-seeding operations and precipitation enhancement using multimodal atmospheric data with an accent on forecasting supercooled liquid water and atmospheric-state estimation. Focus on integrating proprietary sensor data with public weather models and turning research prototypes into operational systems.

Location: On-site in El Segundo, CA

Company

hirify.global is pioneering a modern cloud-seeding system to increase precipitation and address severe-weather challenges through atmospheric science and UAS technology.

What you will do

• Assess and prioritize ML projects across the company based on operational value and data readiness.
• Build models for forecasting, nowcasting, retrievals, and multimodal atmospheric-state estimation.
• Develop methods to predict the occurrence, location, and persistence of supercooled liquid water.
• Integrate public NWP with radar, satellite, microwave-sounder, UAS, and in-situ observations.
• Create custom datasets, labels, baselines, and validation procedures for variables poorly observed by public systems.
• Collaborate with meteorologists and software engineers to productionize successful research prototypes.

Requirements

• Exceptional ability in machine learning research and engineering.
• Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
• Experience working with noisy, sparse, multimodal, spatial, or temporal data.
• Sound statistical judgment regarding leakage, distribution shift, calibration, and uncertainty.
• Ability to translate ambiguous problems into measurable targets and working prototypes.
• Must be based in or be able to relocate to El Segundo, CA (On-site)

Nice to have

• Experience with weather, climate, remote sensing, geospatial data, or scientific ML.
• Background in robotics, autonomy, aerospace, or state estimation.
• Experience with sequence models, probabilistic models, generative models, or sensor fusion.
• Experience taking research models into real-world user workflows or production.
• Familiarity with atmospheric science.

Culture & Benefits

• Significant stock options as an early-stage company employee.
• 401(k) with employer matching and full health coverage (medical, dental, vision).
• Unlimited PTO and paid parental leave for both parents.
• On-site perks including provided lunch, a fully stocked kitchenette, and free EV charging at HQ.
• Relocation assistance provided if applicable.