200+ applicants

Company

Smarsh · 1 day ago

Research Engineer II

United States

Full-time

Remote

Entry Level

$130K/yr - $145K/yr

1+ years exp

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonData ScienceNLPDeep LearningMulti-modal DataGitLinux/UnixScikit-learnH2OKerasPyTorchTensorFlowPandasNumPyNvidia NeMoTransfer LearningLarge Language ModelsNLTKSpaCyMicroservices ArchitectureCloud ComputingMulti-lingual Skills

Required

Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field with research emphasis

1+ year research experience working with data & analytics (including school)

Experience working with Python

Familiarity with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, lightning, Nvidia NeMo

Experience using Git, Linux/Unix, an IDEs

Familiar with multi-modal unstructured communications data (text, speech, image/video)

Preferred

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

Company

Smarsh

Glassdoor

3.1

Smarsh manage the risk and see the value in their communications data.

Founded in 2001

Portland, Oregon, USA

1,001-5,000 employees

http://www.smarsh.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (8)

2022 (22)

2021 (9)

2020 (1)