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Staff Research Scientist – Trucking
| Company | Flexport |
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| Location | Bellevue, WA, USA |
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| Salary | $204000 – $255000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Ph.D. or MS in Computer Science, Statistics, Applied Math/OR, Engineering, or related quantitative field with a minimum of 7+ years of experience developing machine learning solutions.
- Proficiency with Python and production-grade machine learning frameworks (such as PyTorch, TensorFlow, or scikit-learn).
- Experience with large language models (LLMs), retrieval-augmented generation (RAG), and modern natural language processing (NLP) toolkits.
- Demonstrated ability to build, deploy, and monitor both classic and generative AI models in real-world systems.
- Comfort working with APIs, microservices, and data pipelines.
- Proven track record of translating ambiguous business problems into automated, scalable decision-making tools.
Responsibilities
- Set technical direction and mentor other scientists.
- Deliver solutions whose impact scales across teams and the broader Convoy Platform.
- Drive smarter, data-informed decision-making through advanced Science features.
- Develop feedback-aware automated decision-making systems.
- Engage collaboratively with cross-functional teams, including product managers, engineers, and data scientists.
- Innovate deliberately by staying up-to-date with the latest advancements in machine learning, optimization techniques, and market dynamics.
Preferred Qualifications
- Experience in two-sided marketplaces, financial markets, and economic theory.
- Building and maintaining mature production ML models in large, complex systems.
- Applying foundational or cutting-edge research—especially in NLP, LLMs, reinforcement learning, or optimization—to unlock real-world business value.
