Windborne Systems
Machine Learning Infrastructure Engineer
Redwood City, CA
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$25,131 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- WindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data.
- The founding team of Stanford engineers was named Forbes 2019 30 Under 30 and is backed by top-tier investors, including Khosla Ventures and Footwork VC.
- Our research team is small and moves fast, but too much of their time goes to operationalization and infra firefighting instead of model development.
Responsibilities
- You'd evaluate cost/performance tradeoffs across cloud options as we scale, and also help manage growing on-prem resources for compute and storage.
- Data pipelines & upstream reliability - Weather data comes from dozens of sources https://windbornesystems.com/blog/weathermesh-5c-release-notes (satellites, government agencies, our own balloon observations) with varying schedules, incomplete documentation and sometimes failing or changing quality.
- You'd build pipelines for training and realtime data that gracefully handle upstream delays, do QC checks on data, and add logging and alerting for a zoo of edge cases.
- Training infrastructure - Make distributed training runs reliable. They die from silent OOMs, network faults, and storage issues. Build monitoring, auto-recovery, and job scheduling so researchers can launch experiments with less need for babysitting them.
- Have experience running production ML systems - you're not just good at fighting fires but also know how to build systems that don't catch on fire
- Comfortable keeping up with fast-paced model releases and building reliable custom deployments for them
- We design, manufacture, and operate our own balloons, using their observations to generate otherwise unattainable weather intelligence.
- WindBorne builds AI weather models that run 24/7, producing global forecasts every 20 minutes.
Requirements
- Experience with large datasets
- Experience with PyTorch, Docker, cursed memory management, compression and debugging network saturation
- Affinity for systems and structure - you can counterbalance a research team's natural state of chaos with well-organized infrastructure and clear processes
- Experience with weather data, geospatial pipelines, or scientific computing
- Experience with very large datasets, on the petabyte scale
- Experience managing GPU clusters or job schedulers
Compensation
- $140k-$240k
Benefits
- Dental, health, and vision insurance
- Stock Option Plan
- You'd own uptime end-to-end: build health monitoring, improve logging, diagnose failures across nodes.
Company info
- Our mission is to eliminate weather uncertainty and help humanity adapt to climate change-whether by predicting hurricanes or speeding the adoption of renewables.
- Research to Operations pipelines - Our models serve real-time forecasts to customers with strict latency requirements.
Equal opportunity
- WindBorne Systems is an equal opportunity employer.
- To request an accommodation in the application process, email accommodations@windbornesystems.com.
- All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other legally protected characteristic.
This listing is sourced directly from Windborne Systems's careers page and normalized into a canonical job model.