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1 день назад

Research Engineer, Bellwether, X (AI/ML)

174 000 - 255 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Research Engineer (Bellwether, ML/Geospatial): Contributing to development and deployment of machine learning applications for severe weather prediction and earth observation with an accent on geo-ML workflows, production systems, and infrastructure. Focus on creating scalable GCP-based systems, optimizing ML pipelines, and collaborating on agile sprints for live customer products.

Mountain View, CA (HQ)

Salary: $174,000 - $255,000 + bonus + equity + benefits

Company

hirify.global team Bellwether focuses on machine learning and geospatial analytics to predict climate impacts like wildfires for enterprises and governments.

What you will do

  • Contribute to creating systems and processes for high-quality development, deployment, and maintenance of production ML applications.
  • Build and maintain Google Cloud Platform infrastructure for software development and high-volume systems.
  • Collaborate with team, stakeholders, and execute on future development directions.

Requirements

  • PhD in Computer Science or equivalent practical experience.
  • 7+ years in machine learning development pipeline: research, experimentation, ML-Ops.
  • Expertise in ML frameworks (PyTorch, TensorFlow/Keras/JAX) and Python libraries (NumPy, SciPy, Pandas).
  • Experience with software design patterns (Observer, Decorator, Visitor, Producer/Consumer).
  • Proficiency with open source tools: Git, TensorFlow, Apache Beam/Dataflow, Google Compute Engine.
  • Experience evolving prototypes to production in early-stage agile environments and interfacing with customers.

Nice to have

  • Production experience in geospatial industry: code development, security, testing, monitoring.
  • Work with diverse geospatial data.
  • ML Operations for scaling applications to production.

Culture & Benefits

  • Small, collaborative team emphasizing pair programming, cooperative ideation, and agile principles.
  • Fast-paced environment transitioning from development to production.
  • Bonus, equity, and comprehensive benefits.

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