532 jobs for "Technical Lead, Learning Systems"

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Transmission Line Engineer

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Transmission Line Engineer

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Transmission Line Engineer

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Senior Software Engineer, Machine Learning & AI

At Apple

Posted on Oct 19

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Input/Output (I/O) Systems Quality Engineering Manager

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Principal Data Scientist

At Mastercard - Toronto

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Applied ML Director (Technical Team Lead)

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Vice President, Software Engineer (Private Markets Data)

At BlackRock - London

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Machine Learning Engineering Manager, Credit & Underwriting

At Adyen - San Francisco

Posted on Oct 6

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Sr. Staff Cloud Engineer (Cloud Asset Intelligence)

At Capital One - McLean · Chicago

Posted on Oct 9

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Tech Lead Research Scientist - Recommendation Foundation Models (Global E-commerce)

At TikTok - Seattle

Posted on Oct 9

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Tech Lead Backend Engineer - Trust and Safety Platform

At TikTok

Posted on Sep 22

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Senior AI Engineer

At Mastercard - O'Fallon

Posted on Jul 25

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Staff Full-Stack Engineer (Director IC) - Digital Payments

At Capital One - Chicago · Richmond

Posted on Oct 9

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Full-stack Engineer 4 (Manager IC - Vue JS, Java Script, AWS)

At Capital One - Richmond

Posted on Oct 8

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Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

At TikTok

Posted on Aug 27

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TikTok

Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

SingaporePosted Aug 27, 2026

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Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

We are the Trust & Safety Algorithms Team at TikTok, dedicated to building intelligent systems that safeguard our content ecosystem and protect our global community. Our team develops advanced machine learning solutions to moderate content across multiple modalities - including video, images, text, and audio - in alignment with our Community Guidelines.

We play a critical role in detecting and preventing harmful content, mitigating platform abuse, and maintaining a safe, trustworthy environment for users around the world.

Content moderation represents one of the most impactful and technically complex applications of large-scale machine learning. It is also a frontier domain for Large Language Models (LLMs) and multimodal foundation models. By joining our team, you will work at the cutting edge of ML innovation, tackle highly challenging real-world safety problems, and drive meaningful societal impact at global scale.
Responsibilities:
- Own the design and delivery of a core system module within a key content safety vertical
- Lead ML engineers to deliver high-quality, production-ready solutions with strong technical rigor.
- Architect and implement end-to-end ML pipelines, including data processing, model training, evaluation, deployment, and monitoring.
- Apply advanced CV/NLP/LLM techniques to solve real-world moderation challenges across video, image, text, and audio.
- Continuously improve model performance through data analysis, error diagnosis, feature engineering, and model innovation.
- Collaborate closely with cross-functional partners (product, policy, operations etc.) to ensure technical solutions align with evolving business and safety requirements.

Qualifications

Minimum Qualification(s):
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 4+ years of hands-on experience in machine learning system development.
- Proven experience leading small technical teams or driving major ML modules end-to-end.
- Experience deploying large-scale ML models into production environments.
- Strong expertise in at least one of the following areas: Computer Vision, Natural Language Processing, Large Language Models / Generative AI and Multimodal modeling
- Solid understanding of model training, fine-tuning, evaluation, and optimization.
- Strong ownership mindset - able to independently drive ambiguous problems to clear technical solutions.
- Hands-on technical leader who can both design architecture and dive into implementation details.

Preferred Qualification(s):
- Experience with LLM alignment, safety modeling, or trust & safety domains.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 4+ years of hands-on experience in machine learning system development.
- Proven experience leading small technical teams or driving major ML modules end-to-end.
- Experience deploying large-scale ML models into production environments.
- Strong expertise in at least one of the following areas: Computer Vision, Natural Language Processing, Large Language Models / Generative AI and Multimodal modeling
- Solid understanding of model training, fine-tuning, evaluation, and optimization.
- Strong ownership mindset - able to independently drive ambiguous problems to clear technical solutions.
- Hands-on technical leader who can both design architecture and dive into implementation details.

Preferred Qualification(s):
- Experience with LLM alignment, safety modeling, or trust & safety domains.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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