Staff SW Engineer, Machine Learning

BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun.

This is a remote role with a focus on integrating machine learning into automated, remotely deployed, machine learning systems.  The job requires the ability to understand a variety of challenging ML tasks in the GIS computer vision, time series, and natural language domains.  In addition, you will help develop model pre-training and fine-tuning approaches for configurable ML training pipelines.  While the primary focus is on computer vision, some work with LLM and VLM may be required.  You will work closely with the BlackSky analytics team to port existing analytics into a remote ML environment and report to the Principal Systems Architect.

• →Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics.
• →Plan and conduct research projects related to computer vision, time series analysis, content curation, probabilistic modeling, machine learning, predictive analytics, and geometric modeling.
• →Develop algorithms, models, and analytical tools for solving domain specific business problems.
• →Implement production quality analytics and models into the SpectraAI codebase (Python).
• →Collaborate with management and technical team on product strategy.
• →Collaborate with infrastructure developers and machine learning quality engineers to build robust analytics for production use cases.
• →Independently design and conduct experiments, tests hypothesis, implement model and loss function code, train models, and interpret experiment results following a machine learning process based on high level project objectives.
• →Other job-related duties as assigned.

• At least eight years of hands-on experience as a machine learning engineer or data scientist.
• Bachelor’s Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
• Extensive experience developing machine learning based software solutions. In particular, developing models in Python 3, PyTorch, Tensorflow, Keras, or scikit-learn.
• Working knowledge of a wide range of machine learning concepts including supervised and unsupervised deep learning methods for both classification and regression.
• Experience performing research in both groups and as a solo effort with a history of implementing algorithms directly from research papers.
• Experience conducting literature review and applying concepts to programs or products.
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
• Hands-on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization (using Python libraries such as Pandas, NumPy, etc.).   

• PhD./Master's degree in the previously mentioned fields.
• Experience working with remote sensing data, ideally satellite imagery.
• Experience with cloud-based MLOps tools such as ClearML, Weights & Biases, Kubeflow, or MLFlow
• Experience working with Kubernetes-based infrastructure
• Experience with tracking and motion detection algorithms.
• Experience with maritime data for analysis and modeling.
• Experience working with geospatial data and geospatial Python libraries (GDAL, shapely, rasterio, etc).
• Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3). 

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.

BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. #LI-Remote

EEO/AAP/ Pay Transparency Statements:

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf