Staff Software Engineer, Consumer Weather Science & AI
About The Position
The Consumer Weather Science team is the science engine behind weather.com, the Weather Channel mobile apps, and labs.weather.com. This team incubates, validates, and graduates vertical consumer experiences (sailing, kiteboarding, golf, pollen, hiking, ski, fishing, gardening) into flagship products. It is a small, senior team of scientist-engineers responsible for the entire path from atmospheric model output to consumer experience, collaborating closely with product, design, and engineering across the company. The role involves owning the technical and scientific delivery of consumer vertical experiences, translating model output, observations, and AI-derived insights into APIs, data services, and product integrations for millions of users. The initial focus will be on outdoor sports, with potential expansion into other verticals. The role requires acting as the science-side product owner, scoping experiences, building data backends, orchestrating model evaluation, integrating LLM-driven content generation, and managing the transition of experiences from lab experiments to flagship products. This is a senior individual contributor role that involves setting technical direction and representing the science-and-engineering perspective in cross-functional teams.
Requirements
- 4+ years of software engineering experience with demonstrated ability to take projects from concept to production at consumer scale
- Strong proficiency in Python within a Linux/Unix environment
- Working knowledge of atmospheric science, NWP, or a closely adjacent earth-science domain
- Demonstrated daily use of AI coding assistants (Claude Code, Cursor, Cline, or similar)
- Experience with AWS (S3, Lambda, ECS, API Gateway, SQS/SNS) and modern DevOps practices (CI/CD, IaC)
- Hands-on production experience with LLM APIs, including prompt engineering, evaluation, guardrails, and observability
- Comfort working across scientists, designers, product, and external partners, with strong translation skills between scientific nuance and product reality
- Strong written and verbal communication skills; comfortable presenting in cross-functional and leadership settings
- TypeScript or JavaScript for front-end integration is a plus
Nice To Haves
- 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
- Experience building consumer or outdoor vertical products (sailing, kiteboarding, golf, ski, hiking, fishing, agriculture)
- Operationalization 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
Responsibilities
- Science-side delivery of consumer vertical experiences from model output through production APIs to user-facing features
- Develop data pipelines and APIs that serve forecast products derived from GRAF, MPAS, ECMWF, and TWC ML models to labs experiments and flagship apps
- Implement LLM-driven content generation in consumer experiences, including prompt engineering, evaluation harnesses, and guardrails
- Conduct reduction-to-practice work with research scientists
- Manage labs-to-flagship graduations, partnering with product owners, designers, and front-end engineers
- Utilize AI coding assistants and agentic workflows as part of the team's development process
Benefits
- Flexible Time Off program
- Hybrid work model
- Variety of medical insurance options including a $0 cost premium employee coverage
- Competitive 401K match with no vesting requirement
- National health, dental, and vision plans
- Progressive family plan benefits
- An opportunity to work for a global and industry-leading technology company
- Impactful work in a collaborative environment
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What This Job Offers
Job Type
Full-time
Career Level
Senior
