Research Engineer, Bellwether, X

Contribute as a key team member to the creation of new systems and processes to ensure high quality development, deployment, and maintenance of live applications in production environments

Create and maintain Google Cloud Platform-based infrastructure for software development and high-volume production systems.

Collaborate with team members, internal and external stakeholders, and help execute on the direction for future development.

PhD in Computer Science or equivalent practical experience

5+ years experience with the machine learning development pipeline: research, experimentation, and ML-Ops

Extensive hands-on experience with Large Language Models (LLMs), multi-modal systems like Vision Language Models (VLMs), and Geospatial Foundation Models.

Experience in fine-tuning diverse deep learning architectures, including model validation and performance optimization.

Expertise in ML frameworks (e.g., PyTorch, TensorFlow/Keras/JAX) and Python libraries (e.g., NumPy, SciPy, Pandas).

Experience with open source tools such as: Git, TensorFlow, Apache Beam/Dataflow, Google Compute Engine.

Experience working on an early stage project and environment where prototype technologies are evolved into a production phase.

An ability to thrive in an Agile-driven team: iteratively sprinting toward goals and products, contributing new ideas, standards, and processes.

Experience interfacing with customers

Production-level experience in the geospatial industry, with a wide variety of tasks, including code development, designing for, implementing, and managing security measures and controls, troubleshooting and debugging, designing and implementing code testing processes, and monitoring deployed application’s performance and health.

Experience working with a wide variety of geospatial data

Experience in Machine Learning Operations - scaling existing machine learning applications into production

The US base salary range for this full-time position is $174,000 - $255,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.