We are looking for an applied machine learning engineer who wants to use their skills to help address the impact of climate change on future water supply and improve streamflow forecasting capabilities to protect the environment.
Upstream Tech is a technology company that creates decision-support technologies for conservation, agriculture, and low-carbon energy. We are looking for a machine learning engineer to join our close-knit team to work towards a more sustainable world.
In this job, you’ll work with our multi-disciplined team to solve technical problems that our customers face. You will design, build, test and improve models, wrangle data, and run user-facing model deployments to support our HydroForecast product. We’re looking for candidates who are strong communicators, are comfortable sharing their ideas and implementing them in code with a high degree of autonomy.
At Upstream Tech you’ll work on projects like:
This work is critical to the success of Upstream Tech and is necessary for efficient and sustainable water management.
Remote, located in the United States. We have been remote since our founding and focus on processes and tools which make remote work efficient and enjoyable. We host a biannual in-person trip to work, bond, and celebrate our successes.
If interested, please send a cover letter and your resume detailing your experience to email@example.com.
Upstream Tech is committed to supporting and growing a diverse team. We have a standardized interview process designed to reduce individual bias and use structured pay scales to provide equitable compensation. We don’t discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We are proud to offer benefits like four weeks of paid vacation, 401(k) matching, and good health, dental, vision, and life insurance plans. We want our team to live full lives outside of work.