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6 часов назад

Machine Learning Researcher and Engineer (AI)

140 000 - 240 000$
Формат работы
hybrid/onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Researcher and Engineer (AI): Building AI weather models and reusable research systems from large, messy atmospheric datasets with an accent on data assimilation, foundation models, and reliable real-world forecasting. Focus on designing rigorous experiments, improving model performance, and turning successful research into dependable infrastructure.

Location: RWC HQ, 1600 Bridge Pkwy, Redwood City, California; hybrid or in-person

Salary: $140,000–$240,000 per year

Company

hirify.global develops smart weather balloons and AI weather models that generate global forecasts every 20 minutes to improve weather intelligence and support climate adaptation.

What you will do

  • Develop AI-based data assimilation methods using observations from balloons, satellites, weather stations, and other sources.
  • Work toward a foundation model for weather that predicts multiple weather-related datasets and variables.
  • Find, evaluate, clean, and combine large weather datasets with inconsistent formats, resolutions, coverage, and quality.
  • Run rapid experiments, investigate results, and improve model performance.
  • Turn successful experiments into reusable infrastructure and dependable ML systems.
  • Define research hypotheses, design experiments, follow relevant ML research, and contribute across infrastructure, evaluation, and data engineering when needed.

Requirements

  • Strong research judgment and the ability to identify important questions and design convincing experiments.
  • Deep interest in machine learning and understanding models in detail.
  • Strong Python and PyTorch skills, including experience developing and debugging nontrivial ML systems.
  • Experience with large, messy datasets and dependable data pipelines or abstractions.
  • Ability to iterate quickly while identifying work that should become durable infrastructure.
  • Comfort working across research and engineering and learning unfamiliar tools or domains.

Nice to have

  • Experience with weather, climate, geospatial data, scientific machine learning, computer vision, or time-series forecasting.

Culture & Benefits

  • 401(k) plan.
  • Dental, health, and vision insurance.
  • Unlimited paid time off.
  • Stock option plan.
  • Office food and beverages.

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