Note: The job is a remote job and is open to candidates in USA. The ReWork Group partners with high-growth startups and forward-thinking companies to build the future. The Senior Signal Processing Engineer will develop, evaluate, and productionize algorithms that turn commercial SAR imagery into air moving target intelligence, while advancing processing techniques and collaborating through agile development cycles.
Responsibilities
- Push the state of the art. Advance processing techniques that solve real customer problems using commercial SAR imagery
- Design the collect. Define SAR collection parameters purpose-built for AMTI (air moving target indication)
- Evaluate the constellation. Assess SAR satellite constellations and their orbits against a specific use case, and know which trade-offs actually move the needle
- Build for production, not the demo. Develop both proof-of-concept and production-quality SAR algorithms for AMTI
- Prove the performance. Run the analysis that establishes expected processing-algorithm performance for specific use cases before anyone bets on it
- Ship it operational. Work inside agile development cycles to move algorithms from prototype into operational use
- Sharpen the work. Drive design discussions and code reviews that raise the bar for everyone
Skills
- Senior enough to think deeply about architecture and tradeoffs — but you still have boundless energy for implementation. You'd rather build it than describe it
- High agency, low ego. You move without waiting for permission, and you don't need the credit
- A great communicator who can make complex systems legible to the people who depend on them
- 5+ years of experience in applied machine learning and AI, with models deployed and running in production environments
- Ph.D. in Computer Science, Machine Learning, Statistics, or related field (or equivalent practical experience — what you've built matters more than the degree)
- Deep proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with NLP, LLMs, and RAG architectures
Benefits
- This is a hybrid role by design.
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