Harnham
Applied Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied Scientist with a contract length of "unknown," offering a pay rate of "unknown." Candidates must have an MS or PhD in a relevant field, 1-2 years of ML experience, and strong Python skills, particularly in NLP and deep learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
April 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Python #PyTorch #AI (Artificial Intelligence) #Version Control #Computer Science #Deep Learning #ML (Machine Learning) #NLP (Natural Language Processing)
Role description
Key Responsibilities
• Design and run experiments to solve search, NLP, and GenAI problems.
• Build and fine‑tune models using modern deep learning techniques.
• Develop retrieval‑augmented generation systems (LLMs grounded in data).
• Partner with engineering to productionize models and features.
• Evaluate model quality using structured metrics and testing frameworks.
Requirements
Must have
• MS or PhD in Computer Science, ML, or a related field.
• 1 to 2 years of hands‑on ML experience (industry or applied research).
• Strong Python skills and experience with PyTorch or similar frameworks.
• Experience in NLP, information retrieval, or generative AI.
• Experience working in shared codebases with version control.
Nice to have
• Experience evaluating large language models (LLM eval frameworks or custom tools).
• Experience with RAG systems, agent workflows, or tool‑using LLMs.
• Publications in ML or NLP venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR).
• Exposure to MLOps or production ML pipelines.
Key Responsibilities
• Design and run experiments to solve search, NLP, and GenAI problems.
• Build and fine‑tune models using modern deep learning techniques.
• Develop retrieval‑augmented generation systems (LLMs grounded in data).
• Partner with engineering to productionize models and features.
• Evaluate model quality using structured metrics and testing frameworks.
Requirements
Must have
• MS or PhD in Computer Science, ML, or a related field.
• 1 to 2 years of hands‑on ML experience (industry or applied research).
• Strong Python skills and experience with PyTorch or similar frameworks.
• Experience in NLP, information retrieval, or generative AI.
• Experience working in shared codebases with version control.
Nice to have
• Experience evaluating large language models (LLM eval frameworks or custom tools).
• Experience with RAG systems, agent workflows, or tool‑using LLMs.
• Publications in ML or NLP venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR).
• Exposure to MLOps or production ML pipelines.
