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Machine Learning Engineer - Modeling
Machine Learning Engineer - ModelingPryon • Washington, District of Columbia, United States, 20001
Machine Learning Engineer - Modeling

Machine Learning Engineer - Modeling

Pryon • Washington, District of Columbia, United States, 20001
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  • [job_card.full_time]
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Machine Learning Engineer - Modeling

About Pryon : Were 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 were 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 :

  • Masters 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.

    $160,000 - $175,000 a year

    Compensation details : 160000-175000 Yearly Salary

    PI6fd08db953ca-30511-39134726

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    Machine Learning Engineer • Washington, District of Columbia, United States, 20001

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