Machine Learning Lead - Geospatial, Bellwether

About the role

You will be a hands-on Machine Learning engineer, contributing to all aspects of the project’s development and deployment of applications. We are looking for a motivated expert level ML Engineer with broad experience across systems architecture and design in one or more cloud platforms. This role would guide machine learning for Bellwether’s real-world products, and is not a research-based role.

What you should have

• Master's degree or PhD in Computer Science, Applied Mathematics, Physics, or equivalent practical experience
• 7 years experience with the machine learning development pipeline: research, experimentation, and ML-Ops
• Experience in engineering management or as a technical lead, with a track record of guiding team strategy and mentoring engineers while remaining hands-on.
• Expertise in ML frameworks (e.g., PyTorch, TensorFlow/Keras/JAX) and Python libraries (e.g., NumPy, SciPy, Pandas).
• Experience with numerous common software design patterns (for example, Observer, Decorator, Visitor, Producer/Consumer, etc).
• Experience with open source tools such as: Git, TensorFlow, Apache Beam/Dataflow, Google Compute Engine.
• Python proficiency.
• 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

It’d be great if you also had these

• 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

Pay

The US base salary range for this full-time position is $197,000 - $311,000 + 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.

Equal Opportunity Workplace

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.