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# Machine Learning Research Scientist

- **Company:** Elastixai Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Profiling, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Large Language Models, Generative AI, Kubernetes, Information Technology, Optimization Algorithms, Docker, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-research-scientist-elastixai-inc-8300799

## About the Role

* PhD in Computer Science, Computer Engineering, or a related field.
 * 3+ years of experience leading Machine Learning research initiatives.
 * Demonstrated history of research with publications in leading conferences and journals.
 * Experience with generative models such as LLMs and VLMs.
 * Proficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX).
 * Strong proficiency in one or more programming languages such as Python, or C++.
 * Strong communication skills and a proven ability to collaborate effectively in a cross-functional team environment.

Preferred/Bonus Qualifications:

 * Research experience in ML model efficiency and optimization.
 * Familiarity with performance analysis, profiling, and optimization techniques.
 * Experience with cloud platforms (AWS, GCP, Azure).
 * Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

## Description

We are looking for a talented Machine Learning Research Scientist to play a key role in designing our core AI inference platform. You will be actively conducting high impact research on novel ML solutions towards the next generation of efficient intelligence platforms. This is a highly interdisciplinary role where you will collaborate closely with our multi-disciplinary team to ensure novel research ideas contribute to delivering optimal AI inference solutions at scale., * Conduct research, prototype, and implement novel ML techniques to advance state-of-the-art in the generative AI domain.

 * Define and lead high impact applied research initiatives.
 * Writing high-quality code, designing and performing experiments, and organizing results.
 * Work alongside multi-disciplinary engineers to bring research initiatives to production.


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