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# Machine Learning Engineer

- **Company:** Elastixai Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Profiling, Data Structures, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, Software Construction, Google Cloud, Pytorch, Kubernetes, Information Technology, Optimization Algorithms, Docker, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-elastixai-inc-8300796

## About the Role

* PhD/MS in Computer Science, Computer Engineering, or a related field.
 * 3+ years of machine learning R&D and deployment experience.
 * Strong proficiency in one or more programming languages such as Python, or C++.
 * Proficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX).
 * Solid understanding of software engineering best practices, including data structures, algorithms, and testing.
 * Excellent problem-solving abilities and a knack for tackling complex technical challenges.
 * Strong communication skills and a proven ability to collaborate effectively in a cross-functional team environment.
 * Ability to thrive in a fast-paced, dynamic startup environment.

Preferred/Bonus Qualifications:

 * Experience with training generative machine learning models.
 * Experience with optimizing the performance of machine learning models.
 * Experience leading research initiatives in Machine Learning, Natural Language Processing, and related fields.
 * 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 Engineer to play a key role in building our core AI inference platform. You will be responsible for designing and developing critical components, including ML model deployment, innovative model optimization pipelines, and performance benchmarking and simulation workflows. This is a highly interdisciplinary role where you'll collaborate closely with our multi-disciplinary team to ensure our entire stack works in harmony to deliver optimal AI inference solutions., * Design, develop, and maintain core components of our ML platform, focusing on scalability, reliability, and ease of use.

 * Research, prototype, and implement advanced ML techniques to optimize inference performance across diverse hardware targets.
 * Collaborate with systems and cloud engineers to ensure efficient utilization of underlying hardware resources.
 * Contribute to the design of APIs and tools that enable seamless integration and management of our inference solutions.


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