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Senior Machine Learning Engineer (Trust and Safety) (Sonoma)
Senior Machine Learning Engineer (Trust and Safety) (Sonoma)TekVizor • Sonoma, CA, US
Senior Machine Learning Engineer (Trust and Safety) (Sonoma)

Senior Machine Learning Engineer (Trust and Safety) (Sonoma)

TekVizor • Sonoma, CA, US
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  • [job_card.part_time]
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Senior Machine Learning Engineer (Online Trust & Safety)

Location : San Francisco, CA Bay Area or NY

  • We are unable to sponsor at this time.

📢New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Opportunity to develop LLM across the organization and retrieval-augmented generation (RAG) frameworks for the greater good.

Summary :

  • You will be part of a world-class ML / AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions.
  • Develop large-scale production ML models to solve online safety problems. Trust & Safety, content Intelligence, content moderation, fraud detection.
  • Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams.
  • Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification.
  • Analyze business use cases and identify areas where AI models may have predictive limitations or biases.
  • Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch.
  • Experience :

  • Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP.
  • Hands-on experience with generative AI models.
  • Expertise in applying machine learning models in a professional environment with large, complex datasets.
  • Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark.
  • Familiarity with multimodal AI models combining text, image, and video data.
  • Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research.
  • Education :

    Masters in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required)

    Target Total Compensation : $300,000 - $425,000, including a fixed annual salary of $200,000 - $280,000, employee equity grant, and full employee benefits.

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