Deep Learning Scientist / AI Engineer - Responsible AI & Content Safety

JOB TITLE: Deep Learning Scientist, AI Engineer, ML Eng, Research Engineer/Scientist

EMPLOYMENT TYPE/DURATION:

W2 ONLY

12 months

LOCATION DETAILS:

Fully Remote role

INFO REQUIRED TO SUBMIT:

They have to clear a code challenge before we can share resumes and followed by coding challenge and interviews.

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:

* 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.