Staff SW Engineer, Machine Learning OperationsBlackSky is looking for a talented and creative Staff Software Engineer to support the development, operation, and capability evolution of BlackSky's cutting-edge AI/ML Platform. As part of the BlackSky Labs team, you are instrumental in supporting the development of novel ML applications at BlackSky. You will help ensure that we deliver consistent, reliable, and relevant ML products to BlackSky's growing user base. Your primary responsibilities will be the integration, testing, maintenance, and deployment of ML/AI products into BlackSky environments.
This position is a critical element of the BlackSky AI/ML Engineering team and is expected to work collaboratively with internal satellite development teams to ensure success. The ideal candidate has geospatial software engineering, computer vision model deployment, operations, and testing experience; familiarity with satellite imagery or similar datasets; and success working in an agile development environment. Additionally, the ideal candidate has demonstrated the ability to manage their own efforts over a broad scope of work as an independent contributor. Finally, the candidate should be an independent thinker with the demonstrated ability and willingness to lean in to learn new tools, technologies, and approaches to solve new problems. This role reports to the Manager of the BlackSky labs team and while we would prefer this position to be local to our Herndon, VA office, we are open to candidates in certain remote states.
Responsibilities:- Deployment and integration of computer vision solutions for next-generation 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.
- Take part in the entire project lifecycle from requirements development to deployment.
- Serve as a lead on MLOps software development projects, data ETL projects, and software feature development.
- Collaborate with management and technical team on technical roadmap and implementation strategy.
- Other job-related duties as assigned.
Required Qualifications:- Minimum of eight years of hands-on experience as a software engineer with at least three years focused on geospatial MLOps.
- Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field or equivalent experience.
- Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing.
- Strong Python3 proficiency or GO proficiency and 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 SQL such as PostgreSQL/PostGIS.
- Experience writing software to integrate with third-party APIs, performing data ETL, and managing complex data at scale in relational data stores.
- Strong ability to communicate concepts and software system results with customers, management, and the technical team, highlighting actionable insights.
- Hands on experience with cloud services such as AWS EKS, S3, EC2, Aurora / RDS, SQS, SNS, Batch, etc.
- You may have some exposure to machine learning. While not a requirement, it would be helpful if you have studied or have worked with machine learning, statistics, computer vision and would enjoy working with Computer Vision subject matter experts.
- Due to program requirements, candidates must hold US citizenship.
Preferred Qualifications:- Over ten years of hands-on experience as a software engineer.
- Advanced degree in a relevant field of study.
- Knowledge and experience with MLOps and DataOps as a practice.
- Experience with distributed compute environments such as Kubernetes and Dask.
- Experience with on-prem or airgapped deployments.
- Hands on experience working with large imagery datasets including image normalization, image augmentation, raster/vector visualization, etc.
- Experience managing machine learning data labels or with third party platforms such as LabelBox, SuperAnnotate, ScaleAI, etc.
- Experience working with geospatial and image software stacks (GDAL, Rasterio, GeoPandas, Shapely, Xarray, Zarr, etc.).
- Experience with remote sensing datasets and image preprocessing and manipulation methods for sensors such as Sentinel, LandSat, BlackSky, Airbus, Planet, or WorldView.
- Hands on experience with cloud services such as AWS EKS, S3, EC2, Aurora / RDS, SQS, SNS, Batch, etc.
- Experience with Infrastructure solutions including (scaling and deploying models in the cloud using AWS solutions such as Kubernetes, ClearML, Nvidia Triton, Kubeflow, Torch Serve, Argo, etc.).
Life at BlackSky for full-time US benefits eligible employees includes:
- Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance
- BlackSky pays 100% of employee-only premiums for medical, dental and vision and contributes $100/month for out-of-pocket expenses!
- 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day of paid volunteerism leave per year, parental leave and more
- 401(k) pre-tax and Roth deferral options with employer match
- Flexible Spending Accounts
- Employee Stock Purchase Program
- Employee Assistance and Travel Assistance Programs
- Employer matching donations
- Professional development
- Mac or PC? Your choice!
- Awesome swag
The anticipated salary range for candidates in Seattle, WA is $150,000-$180,000 per year. The final compensation package offered to a successful candidate will be dependent on specific background and education. BlackSky is a multi-state employer and this pay scale may not reflect salary ranges in other states or locations outside of Seattle, WA.
