Machine Learning Research Scientist

Job not on LinkedIn

🕒 April 1

🏄 California – Remote

🏄 California – Remote

⏱ Part Time

🟢 Junior

🟡 Mid-level

🧬 Research Scientist

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GroupSolver, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

💰 $2.5M Venture Round on 2022-05

SaaS • B2B • Artificial Intelligence

GroupSolver, Inc. is an advanced online survey platform that integrates both quantitative and qualitative data collection methods to provide insightful research solutions. The platform leverages a combination of machine learning and crowd intelligence to quantify qualitative data, enabling users to gain fast, real-time insights without manual text coding. GroupSolver assists in a variety of research needs including concept testing, brand perception, product development, customer segmentation, pricing research, and employee experience analysis. The system is designed to help businesses understand customer sentiments and behaviors thoroughly, ensuring data-driven decision-making. By organizing responses into themes and providing statistical support, GroupSolver offers a flexible and intelligent research tool for exploring consumer insights.

📋 Description

• Work with and develop state-of-the-art NLP models to improve conventional market research practices.

🎯 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. • 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.