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Senior Machine Learning Engineer - Trust and Safety
TekVizor is hiring a Senior Machine Learning Engineer for their Trust and Safety team in New York or San Francisco. The role involves developing scalable ML models for content moderation and safety.
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Senior Machine Learning Engineer - Trust and Safety
Company: TekVizor
Location: New York, NY (Downtown) or San Francisco, CA
Relocation available
Overview: TekVizor is seeking a Senior Machine Learning Engineer to join a team focused on building and deploying scalable ML models within online trust and safety.
Responsibilities:
- Develop machine learning models for content moderation and classification.
- Work cross-functionally to turn business challenges into AI-driven solutions.
- Develop large-scale production ML models to solve online safety problems.
- Build and scale a retrieval-augmented generation (RAG) system for analytic insights.
- Create and apply NLP and LLM AI models for customer safety in various formats.
- Develop AI/ML paradigms for model optimization and improvement at scale.
- Train and optimize ML models and neural networks using TensorFlow and PyTorch.
Requirements:
- 5-7 years of professional experience in machine learning, deep learning, and NLP.
- Hands-on experience with generative AI models and multi-modal AI.
- Expertise in applying machine learning models with large, complex datasets.
- Familiarity with trust and safety, fraud, and user integrity.
- Proficiency in Python, Scala, scikit-learn, Jax, PyTorch, and PySpark.
- Experience with ML model training, MLOps, NLP, and parameter tuning.
- Familiarity with multimodal AI models combining text, image, and video data.
Education:
- Master’s in Mathematics, Computer Science, Statistics, Engineering, or a similar degree (PhD preferred but not required).
Schedule: Full-time
Remote: Yes