8 дней назад
Principal Machine Learning Engineer (Platform Integrity)
235 000 - 414 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Machine Learning Engineer (Platform Integrity): Designing and scaling machine learning systems that detect harmful content and bad actors, support content moderation, and ensure regulatory compliance with an accent on deep learning, computer vision, NLP, and multimodal models. Focus on setting ML direction across the organization, optimizing scalable online models, and solving complex trust and safety problems with strong availability, operational excellence, and cost management.
Location: Bellevue, Los Angeles, New York, Palo Alto, San Francisco, or Seattle, United States. Office attendance is expected 4+ days per week under 's default-together policy.
Base salary: $235,000–$414,000 annually depending on US pay zone. The position is also eligible for RSUs.
Company
is a technology company operating chat, Specs, Bitmoji, Saturn, and other digital services focused on visual communication and human-centered computing.
What you will do
- Design, implement, and scale machine learning models and systems that detect harmful content and bad actors.
- Support effective content moderation, content quality, a healthy content ecosystem, and regulatory compliance.
- Set machine learning strategies with cross-functional teams and align solutions with company objectives.
- Improve the ML technology stack, model performance, availability, scalability, operational excellence, and cost management.
- Evaluate product requirements and technical trade-offs across teams while delivering scalable solutions.
- Provide technical direction and mentorship across the machine learning community.
Requirements
- 9+ years of post-Bachelor's machine learning experience, or equivalent experience with a Master's or PhD.
- At least 2 years of technical leadership or domain-expert experience.
- Experience developing, training, optimizing, and shipping performant, scalable machine learning models.
- Strong knowledge of machine learning, deep learning, computer vision, natural language processing, LLMs, and VLMs.
- Experience with TensorFlow, PyTorch, or related deep learning frameworks.
- Excellent programming, software design, problem-solving, collaboration, and mentorship skills.
Nice to have
- Experience in online safety, Trust and Safety, Content Moderation, or Content Quality.
- Experience developing multimodal models and LLMs/VLMs for harmful-content and bad-actor detection.
- Advanced degree in machine learning, computer vision, NLP, mathematics, or a related field.
- Experience partnering with executives across globally distributed organizations and contributing to AI publications.
Culture & Benefits
- Default-together workplace approach with regular in-person collaboration.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation package with long-term equity participation through RSUs.
- Equal opportunity employment and a commitment to diverse backgrounds and voices.
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