Description review
Machine Learning Research Scientist
GroupSolver · United States · back to the listing
HR standards
41/100
poor
Title ↔ description
73/100
solid
Reads as
Machine Learning Engineer
91% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
Large employers
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Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
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- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Originally posted on Himalayas
• 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.
Originally posted on Himalayas