Job Description
The Machine Learning Engineer will build and deploy AI models that analyze hyperspectral satellite imagery to detect patterns, materials, and environmental changes.
Key Responsibilities
- Design deep learning models for hyperspectral image classification.
- Implement model training pipelines and hyperparameter optimization.
- Integrate machine learning models into production systems.
- Monitor model performance and retrain models when necessary.
- Optimize inference speed and model scalability.
- Work closely with research scientists and software engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, or related field.
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Strong knowledge of computer vision and image processing.
- Experience deploying ML models on cloud platforms.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
