Executive Director, Data & AI
Valtech
AzureBigQueryCloudETLGoogle Cloud Platform
Deep Learning Scientist, AI Safety
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $235,750 per year
Job Level
Mid-LevelSenior
Tech Stack
KerasPythonPyTorch
About the role
- Develop the datasets and models for training and evaluating 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 and systems using LLMs like RAGs.
- Define and track key metrics for responsible LLM behavior and usage.
- Follow the best MLOps practices of automation, monitoring, scale, safety.
- Contribute to the MLOps platform and develop safety tools to help ML teams be more effective.
- Collaborate with other engineers, data scientists, and researchers to develop and implement solutions to content safety and ML fairness challenges.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering or related field or equivalent experience
- 3+ years of work experience in developing and deploying machine learning models in production
- Strong understanding of machine learning principles and algorithms
- Hands-on programming experience in python and in-depth knowledge of machine learning frameworks, like Keras or PyTorch
- Experience with one or more of the following broader areas for 2+ years: Content Safety, ML Fairness, Robustness, AI Model Security, or related areas
- Background with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application
- Experience working with large multi-modal datasets and multi-modal models
- Good at problem solving and analytical ability
- Excellent collaboration and communication skills.
- Demonstrates behaviors that build trust: humility, transparency, respect, intellectual honesty.
Benefits
- Equity
- Comprehensive benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningbias detectionmodel evaluationMLOpsautomationmonitoringpythonKerasPyTorchmulti-modal datasets
Soft skills
problem solvinganalytical abilitycollaborationcommunicationhumilitytransparencyrespectintellectual honesty
Certifications
Master’s degreePhD
