Senior Geospatial AI/ML Engineer

Summary

Join Wherobots' dynamic team as an AI/ML engineer, contributing to the development of cutting-edge distributed geospatial cloud products. You will work alongside experienced professionals to design and build the company's ML and AI platform, focusing on large-scale geospatial use cases. Responsibilities include defining and maintaining system architecture, informing product roadmaps, building technology for distributed model training, and collaborating with cross-functional teams. The ideal candidate possesses a strong technical background with 5+ years of experience in geospatial AI/ML pipelines and proficiency in Python and relevant frameworks. Wherobots offers competitive compensation, equity, and benefits, including comprehensive health insurance, a 401(k) plan, and unlimited PTO. Flexibility in work arrangements, including remote options, is also available.

Requirements

• Strong technical background, including 5+ years of hands-on experience implementing geospatial AI/ML pipelines and systems
• Proficiency in Python and AI/ML frameworks like PyTorch or TensorFlow required
• A proven track record of building high-quality and maintainable software, and delivering AI/ML-enabled products and features to enterprise customers in production
• Solid understanding of cloud-deployed software architectures, distributed systems, data structures, and algorithms
• Strong communication and collaboration abilities, with a proven track record of working effectively in a hybrid or distributed team environment
• Excellent problem-solving and troubleshooting skills

Responsibilities

• Define, implement, and maintain the systems and data architecture for Wherobots' ML and AI platform
• Inform our product roadmap and product development around the integration of ML capabilities in WherobotsDB and Wherobots Cloud, with a customer-first and use case-driven mindset
• Build technology around distributed geospatial model training and inference, integrated into Wherobots' technology and products
• Build, train, and fine-tune geospatial foundation models
• Collaborate with cross-functional teams to define requirements, identify technical solutions, and deliver high-quality software
• Make open-source contributions to Apache Sedona, PyTorch, and other open-source software packages where necessary
• Stay up-to-date with industry trends and advancements in geospatial and AI/ML technologies

Preferred Qualifications

Hands-on experience programming in Java or Scala

Benefits

• Competitive compensation, equity, and benefits
• Base salary range for this position is $175k-$250k per year
• Flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles
• Competitive benefits package to all full-time employees
• 100% coverage of medical, dental, and vision insurance
• Access to a 401(k) plan with employer match
• Unlimited PTO