Machine Learning Research Scientist

GroupSolver, Inc.
San Diego, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

San Diego, United States of America

Tech stack

Java
Artificial Intelligence
Big Data
Python
Matlab
Machine Learning
TensorFlow
Enterprise Software Applications
PyTorch
Deep Learning
Information Technology
Gensim
Spacy
Recurrent Neural Networks

Requirements

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.

  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis

  • Algorithm and model development experience for large-scale applications

  • Proficiency in at least one of the following languages: Python, R/Matlab, Java

  • Comfortable working with teams in different time zones, (USA, Europe)

  • Good communication skills, ability to explain technical concepts to non-technical audiences. Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.

  • 2 years of experience in NLP

  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning

  • Knows the difference between RNN, CNN, LSTM, GANs.

  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.

About the company

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon. + Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

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