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Research Engineers (ML Engineers)

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Research Engineers (ML Engineers)

As a Research Engineer, you will be analyzing a wide range of unstructured communications data to address problems for our customers. The Research Engineer is responsible for the development and evaluation of new research ideas including development, support, and improvement of existing capabilities.

Our client is looking for Research Engineers to help shape the frontiers of multimodal communications research.

They are seeking candidates who will excel in fast-paced environments and deliver results with precision and finesse.

The ideal candidate will be someone who’s passionate about exploring new technologies, navigating complex and impactful problems, and building high-performance research infrastructures.

The role will involve working with the Research Engineering team, collaborating with the Data Science team, and align with the Product Managers in analyzing complex communications data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights across multimodal data sets with a hands-on/can do attitude.

This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more.

How will you contribute?

Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities

Data annotation and quality review

Exploratory data analysis and model fail state analysis

Attend and actively participate in planning, stand-ups, retros, and other team meetings and discussions

Contribute to Research discussions.

Experience researching large language models.

Experience with projects involving large language modeling.

CNN (convolutional Neural Network) experience.

Master’s or higher education. PHD in math preferred.

Work with a small team (3 research engineers now), reports to their Sr. Director of Research Engineering

Preferred Education and Experience:

Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field

1+ year experience working with NLP, text analytics/classification, audio analytics

Knowledge of transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, and GPT-x etc.)

Experience in using various Large Language Models (LLM)

Experience with natural language processing toolkits like NLTK, spaCy

Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes

Cloud computing (AWS, GCS, Azure)

Multi-lingual communication skills / experience.

Comp $130,000 - $145,000 a year DOE

Our client requires US citizenship or Green Card's No Sponsorships including H1b H4 EAD

If this role piques your interest, please send me an MS Word version of your resume to [email protected] or I can be reached on my cell at 503-867-6250

Thanks for your time and consideration.