The Weather Company
Staff Software Engineer, Consumer Weather Science & AI
Atlanta, GA · Staff+
Sponsorship not specifiedDetected 28 days ago
JavaScriptTypeScriptPythonAWSCI/CDLinuxDevOpsMachine LearningData EngineeringLLMsA/B TestingResearchLeadershipCommunicationPublic Speaking
About the role
- About The Weather Company: The Weather Company is the world's leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather.
- Job brief: The Consumer Weather Science team sits inside Science and Forecast Operations.
- That means translating model output, observations, and AI-derived insights into APIs, data services, and product integrations that serve hundreds of millions of users.
Responsibilities
- You will own the technical and scientific delivery of one or more consumer vertical experiences.
Nice to have
- Advanced degree (M.S. or PhD) in Atmospheric Science, Meteorology, Oceanography, or a related field
- Experience with meteorological data formats (GRIB, NetCDF, HDF, Zarr) and geospatial processing
- Operationalisation of ML or AI-derived forecast products (downscaling, ensemble post-processing, emulators)
- Familiarity with LLM observability and routing infrastructure (LiteLLM, Langfuse)
- Experience working alongside designers and PMs in a labs/experimentation context
- An opportunity to work for a global and industry-leading technology company
- Impactful work in a collaborative environment
- 4+ years of software engineering with demonstrated ability to take projects from concept to production at consumer scale
Benefits
- Flexible Time Off program
- Variety of medical insurance options including a $0 cost premium employee coverage
- Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
- Progressive family plan benefits
Company info
- The Weather Company is the world's leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather.
- The world's most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital from The Weather Channel (weather.com) and Weather Underground (wunderground.com).
- Together with advanced technology and AI, The Weather Company's high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way.
- The Consumer Weather Science team sits inside Science and Forecast Operations.
- We are the science engine behind weather.com, the Weather Channel mobile apps, and labs.weather.com, TWC's experimentation surface where vertical consumer experiences (sailing, kiteboarding, golf, pollen, hiking, ski, fishing, gardening) are incubated, validated, and graduated into flagship products.
- We are a small, senior team of scientist-engineers who own the path from atmospheric model output to consumer experience, working closely with product, design, and engineering across the company.
- Your portfolio will begin with outdoor sports with room to expand into adjacent verticals as the labs pipeline evolves.
- You will act as the science-side product owner for those verticals: scoping each experience with product and design partners, building or evolving the data backend, orchestrating model-evaluation work with our research scientists, integrating LLM-driven content generation (AI briefings, condition explanations, alerts), and shepherding experiences from lab experiments into flagship.
- This is a senior individual contributor role.
- You will set technical direction for your verticals and serve as the science-and-engineering voice in cross-functional working groups.
- The impact you'll make:
- Science-side delivery of consumer vertical experiences from model output through production APIs to user-facing features
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This listing is sourced directly from The Weather Company's careers page and normalized into a canonical job model.