Senior / Lead ML Tooling Software Engineer
$170,000–$200,000 year
Remote · Washington, District of Columbia, United States or San Francisco, California, United States
Washington, District of Columbia, United States or San Francisco, California, United StatesRemoteFull Time$170,000–$200,000 yearSenior LevelNot SpecifiedStartup
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Startup
Job Summary
Join Atlas AI as a Senior / Lead ML Tooling Software Engineer to define and deliver our GeoAI platform for Data Scientists and Machine Learning Engineers. Lead the development of cloud-scale training services for GeoSpatial ML models, interface with cross-functional teams, and enhance engineering standards. Candidates must have substantial experience in data science, machine learning, and backend software engineering.
Required Qualifications
- Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm
- Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud
- At least three or more years of recent work experience building around Earth Observation use-cases
- Demonstrable experience with Python, Pandas, PyTorch, GDAL
- Technical ownership of key areas of a Product, such as one or two critical services
- Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment
- Exceptional interpersonal communication, both written and oral
- Independence and ownership of work in an entrepreneurial, start-up environment
- Intellectual curiosity and desire to contribute across cultures in a dynamic global environment
Desired Qualifications
- Experience with building distributed computing infrastructure flexible for both on-demand and batch processing
- Applying Geospatial libraries and datasets at scale for user-facing applications
- Developing enterprise PaaS and SaaS products
- Working in early-stage startup environments
- Developing on Google Cloud Platform
- Comfort working in a distributed team environment
Additional Requirements
- Requires eligibility to work in the USA for a US company
- 100% remote with two to four meet-ups per year in-person
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