Machine Learning Engineer (MLE) Intern

• →Model Development: Collaborate with the engineering team to build and refine Computer Vision models tailored for geospatial data.
• →Multi-Image Processing: Gain experience developing architectures that handle multiple images passing to models for temporal or change-detection analysis.
• →Model Deployment: Collaborate with DevOps engineers to package, containerize, and deploy production-ready ML models into BlackSky’s platform.
• →Testing & Evaluation: Participate in code reviews, debug software issues, and contribute to the technical documentation of ML workflows.
• →Continuous Learning: Participate in team discussions on best practices in computer vision, geospatial technology, and software engineering.
• →Other job-related duties as assigned.

• Rising junior, senior, or grad student studying Computer Science, Data Science, Mathematics, or a related technical field.
• Proficiency in Python is required.
• Prior experience with PyTorch.
• Experience with computer vision and/or geospatial technology (GIS systems and satellite imagery processing).
• Strong problem-solving skills and an eagerness to learn and adapt in a fast-paced environment.
• Excellent communication skills and the ability to work effectively in a collaborative team setting.
• Must be able to report to Herndon, VA office at least 2x per week. 

• Graduate student preferred (master’s or PhD).
• Prior internship experience.
• Familiarity with software development methods such as Agile, version control (Git).

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.

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

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