5 дней назад
Software Engineer, Machine Learning Systems
120 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Machine Learning Systems (AI/weather forecasting): Building reliable tooling for 24/7 weather-model inference, real-time atmospheric data pipelines, and visualization tools with an accent on fault recovery, observability, and distributed data processing. Focus on designing reusable infrastructure, diagnosing failures across production systems, and supporting deep-learning workflows without requiring prior machine learning experience.
Location: In person at 1600 Bridge Parkway, Redwood Shores, California, United States
Salary: $120,000–$200,000 base salary per year, depending on experience and scope.
Company
Develops and operates smart weather balloons and an AI weather model that produces global forecasts every hour from atmospheric observations.
What you will do
- Build tooling that runs weather models, detects failures, recovers from infrastructure outages, and keeps forecasts running.
- Develop real-time pipelines for incoming atmospheric observations, including handling late or missing data.
- Create tools that visualize data processing and model inference progress, bottlenecks, and failures.
- Own production systems after launch, including their performance, monitoring, reliability, and recovery behavior.
- Work with deep learning, backend, and frontend engineers to identify needs, build infrastructure, and guide future improvements.
Requirements
- Experience owning production software and investigating failures across multiple system components.
- Ability to explain difficult technical decisions, read unfamiliar code, debug complex issues, and build substantial software.
- Strong curiosity, independent problem-solving skills, and a willingness to learn model code and unfamiliar systems.
- Ability to use AI and agentic tools effectively while understanding, testing, and debugging shipped code.
- Prior machine learning experience is not required. Programming languages, frameworks, and years of experience are flexible.
- In-person availability in Redwood Shores, California is required.
Nice to have
- Experience with data pipelines, distributed systems, or infrastructure.
- Experience with scientific computing, weather data, or geospatial systems.
- Familiarity with machine learning inference, GPU computing, or PyTorch.
- Good UI design skills or a portfolio demonstrating built software.
Culture & Benefits
- Small, fast-moving deep learning research environment with work that is put into use quickly.
- 401(k) plan and health, dental, and vision insurance.
- Unlimited paid time off.
- Stock options, office food, and beverages.
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