Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety and ML Fairness. Research and implement cutting-edge techniques for bias detection and mitigation in LLMs. Define and track key metrics for responsible LLM behavior and contribute to safety tools.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Remote Job - JOB TITLE: Deep Learning Scientist, AI Engineer, ML Eng, Research Enginer/Scientist
JOB TITLE: Deep Learning Scientist, AI Engineer, ML Eng, Research Enginer/Scientist
EMPLOYMENT TYPE/DURATION:
12 months
LOCATION DETAILS:
Fully Remote role
INFO REQUIRED TO SUBMIT:
They have to clear a code challenge beefore we can share resumes and followed by coding challenge and interviews.
JOB DESCRIPTION:
Top 3 Skills:
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The 3 skill set or experience below requires Python programming expertise.
Data Analytics
Data Generation Strategies/SFT experience
Model Fine Tuning Skills
Job Description:
What you’ll be doing:
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* Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
* Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
* Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
* Define and track key metrics for responsible LLM behavior and usage.
* Follow the best practices of automation, monitoring, scale, safety.
* Contribute to our repositories and develop safety tools to help ML teams be more effective.
What we need to see:
* Bachelor’s or Master’s Degree in Computer Science or related field or equivalent experience.
* 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
* Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
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