AI Researcher

Job not on LinkedIn

🕒 July 23

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Intellectix

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

🤖 Artificial Intelligence

🤝 B2B

🏛️ Government

Artificial Intelligence • B2B • Government

Intellectix is a company that specializes in developing comprehensive AI solutions by integrating state-of-the-art models with advanced fine-tuning techniques. Their focus includes creating efficient workflow processes through innovative products like Transcriber AI, aimed at both commercial entities and government clients. Founded in 2012 and headquartered in Tysons, VA, Intellectix is a small business that serves a range of customers, including federal, state, and local governments, and has been recognized for their work in driving transformational changes through technology solutions.

📋 Description

• Process and transform production data to prepare it for AI model training. • Oversee and manage model training and development workflows. • Fine-tune existing models to improve performance and accuracy. • Work with Colab, GitHub, and Python to develop, test, and optimize AI models. • Stay up to date with the latest advancements in AI and deep learning research. • Collaborate with engineers and data scientists to implement AI solutions in production environments.

🎯 Requirements

• Degree in Computer Science, Mathematics, AI, or a related field (or equivalent experience). • Hands-on experience with Whisper, Pyannote, LLaMA, or similar AI models. • Strong skills in Colab and GitHub. • Strong problem-solving skills and the ability to work independently or as part of a team. • Ability to preprocess, clean, and prepare large datasets for training. • Proficiency in Python and familiarity with frameworks like PyTorch or TensorFlow. • Experience with model development and/or fine-tuning in a production setting.