Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.
About the role
- Senior Geospatial AI/ML Engineer at Planet developing cutting-edge geospatial intelligence solutions using machine learning and AI technologies. Collaborating across teams to transform global data into actionable insights.
Responsibilities
- Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors.
- Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement.
- Handle and solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals.
- Use your deep domain expertise to guide future feature development toward high-impact, achievable technical milestones.
Requirements
- 10+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development.
- Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field.
- Ability to obtain and maintain TS-SCI or TS security clearance.
- Deep expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms, unsupervised/semi-supervised techniques, and strong mathematical foundations.
Benefits
- Comprehensive Medical, Dental, and Vision plans
- Health Savings Account (HSA) with a company contribution
- Generous Paid Time Off in addition to holidays and company-wide days off
- 16 Weeks of Paid Parental Leave
- Wellness Program and Employee Assistance Program (EAP)
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity
- Commuter Benefits (if local to an office)
- Volunteering Paid Time Off
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