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TekVizor
Senior Machine Learning Engineer (Trust & Safety)

Senior Machine Learning Engineer (Trust & Safety)

Hybrid

San francisco bay, United states

$ 280,000 /year

Senior

Full Time

31-12-2025

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Skills

Python Research Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning Organization Pandas PySpark Mathematics NLP

Job Specifications

Senior Machine Learning Engineer - Multimodal AI, Trust & Safety

Location: San Francisco, CA Bay Area or NY

We are unable to sponsor at this time

(US Citizen, Green Card, Perm Resident)

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 multi-modal AI
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:

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

Base pay range $260- $280k +bonus and full employee benefits.

About the Company

TekVizor is the bridge that connects top technology talent with the most cutting edge companies. We utilize a Full Desk recruitment approach that allows us to engage our clients and candidates throughout the recruiting lifecycle, making for a seamless and successful experience. Areas of technology recruiting Data Science & Analytics • Machine Learning "ML" • Advanced Analytics • Business Intelligence • Deep Learning • Artificial Intelligence "AI" • Computer Vision Cloud Solutions & Infrastructure • Big Data • Cloud Architect... Know more