> Markdown version of [/jobs/ext/3998035-senior-machine-learning-engineer-ii-flightaware-remote](https://www.wearedevelopers.com/jobs/ext/3998035-senior-machine-learning-engineer-ii-flightaware-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Machine Learning Engineer II - FlightAware (Remote)

- **Company:** RTX
- **Location:** Albany, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $132,400.0 - $251,600.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Big Data, Extract Transform Load (ETL), Elasticsearch, Python (Programming Language), Machine Learning, Tensorflow, Prometheus, Workflow Management Systems, Graphics Processing Unit (GPU), Graph Neural Networks, Pytorch, Grafana, Apache Spark, Deep Learning, Keras, Kubernetes
- **Published:** October 28, 2026
- **Apply:** https://dejobs.org/x/x/CFA5F55098E145519E9231670531DC52/job/

## About the Role

Must be authorized to work in the U.S. without the company's immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position., * Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience

 * Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position.
 * Strong knowledge of Python
 * Experience with deep learning frameworks: Tensorflow/Keras or PyTorch
 * Experience with complex data types: time series, image, video, etc.
 * Ability to work within an agile development style

Qualifications We Prefer:

 * Experience with Kubernetes, AWS, and GPU acceleration.
 * Experience with graph neural networks
 * Experience with weather, or other geospatial, datasets
 * Experience with observability stacks (Prometheus, Grafana, Thanos, etc.).
 * Familiarity with Dagster, Airflow or other modern ETL orchestration tools.
 * Familiarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems.
 * Experience working in hybrid infrastructure environments (cloud + on-prem Kubernetes).