15 часов назад
Staff Machine Learning Engineer (Generative AI)
229 000 - 343 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (Generative AI): Building generative AI and augmented reality experiences serving millions of Snapchatters with an accent on computer vision, generative modeling, and on-device inference. Focus on training and optimizing large-scale models, developing efficient inference pipelines, and solving ambiguous machine learning problems across mobile, web, and wearable devices.
Location: United States; Bellevue, Los Angeles, New York, Palo Alto, or Seattle. Expected to work in an office 4+ days per week.
Salary: $195,000–$343,000 annual base salary depending on pay zone, skills, experience, qualifications, work location, and market conditions. Eligible for RSUs.
Company
is a technology and product company operating chat, Spectacles, Bitmoji, Saturn, and other digital services.
What you will do
- Develop machine learning technologies and products serving millions of chatters.
- Build augmented reality experiences using generative models.
- Deliver generative machine learning experiences on devices.
- Prototype new products with cross-functional teams and external partners.
- Develop foundational models, efficient infrastructure, and server-side and on-device inference systems.
Requirements
- Bachelor’s degree in computer science, mathematics, statistics, or a related technical field, or equivalent experience.
- 8+ years of post-Bachelor’s machine learning or related experience, or equivalent postgraduate experience with a Master’s degree or PhD.
- Experience with computer vision or generative modeling techniques.
- Knowledge of neural networks, deep learning, generative modeling, mathematics, and machine learning algorithms.
- Experience with TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks.
- Ability to work independently, collaborate effectively, and solve open-ended problems.
Nice to have
- Advanced degree in computer science or a related field.
- Experience training large-scale diffusion models for images, video, or 3D.
- Knowledge of distillation, quantization, model compression, and GPU, CPU, or NPU optimization.
- Experience building and optimizing machine learning inference pipelines.
Culture & Benefits
- Default-together work approach with in-office collaboration 4+ days per week.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation package with long-term equity participation through RSUs.
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