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Senior Machine Learning Engineer (Remote)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

Experience with scalable distributed systems, Familiarity with ML models in production, Knowledge of cluster environments and data processing, Proficiency in software engineering fundamentals, Experience with geospatial data and related tools.

Key responsabilities:

Contribute to geospatial data warehouse
Construct data ingest pipelines
Implement pre-processing algorithms for ML
Improve developer experience through infrastructure
Lead cross-team initiatives related to infrastructure

Pachama Scaleup https://pachama.com/

51 - 200 Employees

See more Pachama offers

Job description

Your missions

Location: This role is remote. However, given the cross-functional communication responsibilities, it is preferred that you be within 3 hours of Pacific time.

About Pachama:

Pachama harnesses AI and satellite data to empower companies to confidently invest in nature. Using the latest technological advances, Pachama delivers continuous insight into how forests sequester carbon, protect wildlife and benefit local communities. These insights enable leading companies to find the world’s best projects and track their impact over time while also helping land stewards earn an income protecting nature with tools to develop carbon projects and secure funds.

Experience & Skills We’re Looking For:

You've built scalable and fault-tolerant distributed systems that process large amounts of data

You've worked with ML models in production systems

Experience working in cluster environments and an understanding of the related distributed systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks, pipelining/multiprocessing, etc)

Experience with algorithms and data structures, domain-driven design, and software engineering fundamentals. Some examples of tools in our tech stack include Kubernetes, Dask, Flyte. Open source geospatial tools that are also part of our tech stack include Rasterio, Geopandas, and Xarray

Experience working with terrestrial ecosystem geospatial data such as land cover, ecosystem classifications, and biophysical data

You're comfortable with fast-paced execution and rapid iteration startup environment

You're excited by product impact

Interdisciplinary collaboration and deep user empathy

What You Will Help Us With:

Contribute to our 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

You'll Have The Opportunity To:

Approach problems with curiosity and humility

Own solutions end-to-end

Take part in strategic thinking

Leave code better than when you found it

Communicate well and document better

Have fun!!

Even if you don’t meet all these requirements, we encourage you to apply if this job description excites you. We are looking for ambitious people to help make an impact on climate change. That purpose requires us to bring together a diverse set of people with different backgrounds, perspectives, and skills to create solutions that work for all.