Senior Software Engineer AI/ML Operations
20 hours ago
We are seeking a skilled and experienced Senior Software Engineer to join our AI/ML Operations team. As a key member of the team, you will play a critical role in the development, operation, and evolution of Spectra AI, BlackSky's cutting-edge AI/ML Platform. Your primary responsibility will be to design and implement software solutions to support the automated monitoring mission at BlackSky, ensuring that Spectra AI produces consistent, reliable, and relevant analytics to our growing user base.
To succeed in this role, you must have significant experience in geospatial software engineering, computer vision model deployment, operations, and testing. Familiarity with satellite imagery or similar datasets is also essential. Furthermore, you should possess strong communication skills and be able to collaborate effectively with internal satellite development teams to ensure the success of our AI/ML platform.
The estimated annual salary for this position is $170,000. Benefits include medical, dental, vision, disability, group term life, and AD&D insurance, as well as 15 days of PTO, 11 Company holidays, four Floating Holidays, one day of paid volunteerism leave per year, parental leave, and more.
Key Qualifications:- Minimum of eight years of hands-on experience as a software engineer with at least three years focused on geospatial imagery.
- Bachelor's/Master's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field.
- Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.
- Strong proficiency in Python3 and/or GO programming languages, including experience writing production software for data ETL, REST APIs, micro-services, geospatial, or data analytics, and cloud deployment.
- Experience with databases, SQL queries, and data model design, especially with PostgreSQL/PostGIS.
- Hands-on experience with cloud services such as AWS EKS, S3, EC2, Aurora/RDS, SQS, SNS, Batch, etc.
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