Senior Machine Learning Engineer (Remote)

$106,155 - $168,500/Yr

Pachama - San Francisco, CA

Full-time - Senior

Remote - San Francisco, CA

Professional, Scientific, and Technical Services

About the position

The Senior Machine Learning Engineer at Pachama is responsible for developing and maintaining scalable, fault-tolerant distributed systems that process large amounts of geospatial data. This remote role emphasizes collaboration across teams to enhance the company's geospatial data warehouse and improve machine learning pipelines, ultimately contributing to impactful climate solutions.

Responsibilities

• Contribute to the geospatial data warehouse and platform for scientists and machine learning engineers.
• Construct robust pipelines for the ingest of geospatial data.
• Implement cutting-edge pre-processing algorithms for sensor data to produce quality features for ML.
• Contribute to tools and infrastructure to increase iteration time and improve developer experience.
• Contribute to infrastructure to accelerate research and experimentation.
• Develop plans for cross-team initiatives related to infrastructure and deliver on them.

Requirements

• Experience building scalable and fault-tolerant distributed systems that process large amounts of data.
• Experience working with ML models in production systems.
• Familiarity with cluster environments and understanding of distributed systems concepts (CPU/GPU interactions, latency/throughput bottlenecks, pipelining/multiprocessing).
• Proficiency in algorithms and data structures, domain-driven design, and software engineering fundamentals.
• Experience with tools in the tech stack such as Kubernetes, Dask, Flyte, Rasterio, Geopandas, and Xarray.
• Experience working with terrestrial ecosystem geospatial data such as land cover, ecosystem classifications, and biophysical data.
• Ability to thrive in a fast-paced execution and rapid iteration startup environment.
• Strong interdisciplinary collaboration skills and deep user empathy.

Nice-to-haves

• Experience with open-source geospatial tools.
• Familiarity with cloud computing platforms.

Benefits

• Competitive salary ranging from $106,155 to $168,500.
• Equity eligibility for new hires.
• Opportunities for professional development and growth.
• Flexible remote work environment.