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Machine Learning Engineer - Modeling
Machine Learning Engineer - ModelingMedium • Washington, District Of Columbia, United States
Machine Learning Engineer - Modeling

Machine Learning Engineer - Modeling

Medium • Washington, District Of Columbia, United States
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  • [job_card.full_time]
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About Pryon

We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.

In This Role

Help solve fundamental problems in machine learning, natural language understanding, and human‑computer interaction with applicability to practical commercial use cases.

Help with experimentation and model development, and design new features as well as improve existing ones in our system.

Partner with the AI Engineering team to transition mature technology to our production environment.

What You’ll Need to Be Successful

Master’s degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial / academic work experience (or equivalent)

Demonstrated ability to drive the development side of R&D efforts

Experience building / refining / innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition

Experience with one or more of deep learning toolkits (PyTorch / HF preferred)

Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of : Python, C++, or Java)

Experience building and improving LLM applications for processing semi‑structured and structured data such as NL2SQL and graph‑RAG

Experience with practical applications in NLP, esp. with transformers / LLMs a plus

Publications in top‑tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus

Experience working in cloud‑based development environments such as AWS, Azure, or Google

Experience with micro‑service creation

Strong problem‑solving skills, with a hands‑on, get‑it‑done attitude

Team player with ability to work in a close‑knit, fast‑paced startup environment

$160,000 - $175,000 a year

Benefits for Full‑Time Employees

Remote first organization

100% Company paid Health / Dental / Vision benefits for you and your dependents

Life Insurance, Short‑term and Long‑term Disability

401k

Unlimited PTO

We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.

Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws.

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Machine Learning Engineer Modeling • Washington, District Of Columbia, United States

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