Machine Learning Engineer - Modeling

PryonWashington, DC, United States

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This range is provided by Pryon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00 / yr - $175,000.00 / yr

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.

We're looking to hire a Machine Learning Engineer in our Modeling & Large Language Models team. In this role, you'll be part of a team that is building world-class information retrieval and question answering systems over structured and unstructured data.

In This Role, You Will :

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

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.

Seniority level

Not Applicable

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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Machine Learning Engineer • Washington, DC, United States