Sorcerer is a well-funded, early-stage Y Combinator backed startup. We are hiring a Lead Atmospheric Scientist to be responsible for implementing, troubleshooting, and deploying weather models using a combination of AI/ML and traditional Numerical Weather Prediction.

What You'll Do

Develop custom weather forecasting models.
Take end-to-end ownership of models, including deployment on cloud infrastructure.
Collaborate closely with the product team to develop innovative forecasting solutions.
Integrate with data assimilation systems to utilize balloon data and other observations.
Test and validate the accuracy of weather models against real-world data and observations.

What We're Looking For

6+ years of experience in Atmospheric Science.
Experience utilizing open-source numeric weather models like WRF and MPAS.
Experience operationalizing weather forecast models.
Experience with multi-dimensional data formats such as Zarr, NetCDF, and GRIB.

Nice to Have

Experience running both traditional NWP and ML models like GraphCast or Anemoi.
Comfortable with multi-disciplinary software engineering tooling like Git and Python.
Extensive experience managing cloud infrastructure (AWS, GCP, Azure).
Succeed with a high level of autonomy.
Aren’t afraid of scrappy, unconventional problem solving.

Technical Stack

Languages/Tools: Python, Git
Cloud Infrastructure: AWS, GCP, Azure
Models & Formats: WRF, MPAS, Zarr, NetCDF, GRIB

Team & Environment

You will initially work closely with the CPO, reporting directly to them, with the expectation of later building your own team.

Benefits & Compensation

Medical, dental, and vision insurance.
Generous paid time off.
Lunches provided daily and a stocked office kitchen.

Work Mode

This is an onsite position located in the SOMA district of San Francisco.

We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.