about 3 hours ago
Remote, United StatesStaff+
Base Salary
$150k - $180k/yr
Responsibilities
- Deploy and integrate computer vision solutions for satellite imagery analytics.
- Ensure high-quality and production-ready Python or Go code.
- Manage cloud infrastructure and code deployment to AWS, Kubernetes, or other environments.
- Participate in the entire project lifecycle from requirements development to deployment.
- Lead MLOps software development projects, data ETL projects, and software feature development.
- Collaborate on technical roadmap and implementation strategy.
Requirements
- Minimum of eight years of software engineering experience with three years focused on geospatial MLOps.
- Bachelor’s Degree in computer science, mathematics, physics, statistics, or a related field.
- Experience designing and building scalable production software solutions for machine learning or image processing.
- Strong proficiency in Python3 or Go and experience with data ETL, REST APIs, and cloud deployment.
- Experience with databases, SQL queries, and data model design, especially PostgreSQL/PostGIS.
- Ability to communicate software system results with customers and technical teams.
- Hands-on experience with AWS cloud services.
- U.S. citizenship is required due to program requirements.
Benefits
- 100% coverage of employee-only premiums for medical, dental, and vision insurance.
- 15 days of PTO, 11 company holidays, and additional paid volunteerism leave.
- 401(k) with employer match and flexible spending accounts.
- Employee Stock Purchase Program and professional development opportunities.
- Choice of Mac or PC and awesome swag.