Machine Learning Research Scientist
At a glance
Mid-level AI Research role at GroupSolver. Remote, United States · part-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop and apply current NLP models to make conventional market research more effective
- Build algorithms and models designed to work with large-scale applications
- Use predictive modeling, machine learning or large-data analysis to support research and development
What you bring
- A master’s or doctoral degree in computer science, machine learning, statistics, applied mathematics or a related field
- At least two years of hands-on work in predictive modeling, machine learning or large-data analysis
- You have developed algorithms and models for large-scale applications
- You can program in at least one of Python, R/Matlab or Java
Who this fits
This part-time research role suits someone who can explain technical ideas to non-technical audiences and work with teams across U.S. and European time zones. NLP experience and knowledge of Transformer architecture and attention mechanisms are preferred.
From the employer
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.
Basic Qualifications:
- 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.