Signal Processing Engineer

The ReWork Group; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

The ReWork Group in the United States seeks a Senior Signal Processing Engineer to deploy production-grade SAR/ML algorithms at enterprise scale.

You will design data collection parameters, evaluate satellite constellations, and push state-of-the-art techniques in AMTI; collaborate in agile cycles to move algorithms from prototype to operations.

You will communicate complex systems clearly and contribute to architecture decisions with a strong emphasis on production readiness.

Qualifications

• 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).
• Deep proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with NLP, LLMs, and RAG architectures.

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

Strong communication

Self-motivation

Machine learning / AI experience

Python proficiency

Education

Ph.D. in Computer Science / ML / Statistics or equivalent

Tools

PyTorch

TensorFlow

scikit-learn

LLMs

Job description

At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future.

Our client is building a platform where AI doesn't just analyze data; it reasons across it, forecasts what's coming, and acts on its own.

As a Senior Signal Processing Engineer, the models you build won't sit in a notebook waiting for a publication cycle. You'll run in production, at enterprise scale, making real calls on messy, heterogeneous, real-world data. This is a hybrid role by design.

You turn raw radar returns into moving-target intelligence. Commercial SAR constellations are throwing off more data than anyone has figured out how to use. We're building the algorithms that find what's moving, where, and why it matters. If you want your work flying in production instead of sitting in a paper, keep reading.

What You'll Do:

• 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.

Who You Are:

• 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.