4 дня назад
Machine Learning Engineer, Level 3 (AI)
118 000 - 176 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer, Level 3 (AI): Building and deploying machine learning models for core Snapchat products with an accent on ranking, recommendations, search, content understanding, and image generation. Focus on analyzing data, training and evaluating models, deploying scalable production services, and solving ambiguous machine learning and system design challenges.
Location: Onsite in Bellevue, Los Angeles, New York, Palo Alto, or San Francisco; office attendance is expected 4+ days per week under 's “default together” policy.
Base salary: $100,000–$150,000 annually in Zone C, $112,000–$167,000 annually in Zone B, or $118,000–$176,000 annually in Zone A, plus potential RSU equity.
Company
develops chat, Specs, Bitmoji, Saturn, and other digital products focused on visual communication, human-centered computing, and creative expression.
What you will do
- Build and deploy machine learning models for core chat products.
- Apply established machine learning techniques to real-world product problems.
- Perform data analysis, model training, evaluation, and production deployment across the ML lifecycle.
- Collaborate with cross-functional partners to implement and launch ML-driven features.
- Use AI tools and high-velocity engineering workflows to design scalable services with strong standards for correctness, security, and production readiness.
Requirements
- Bachelor's degree in computer science or a related technical field, or equivalent practical experience.
- At least 1 year of post-bachelor's machine learning experience, or a relevant master's degree.
- Experience developing models for ranking, recommendations, search, content understanding, image generation, or similar applications.
- Strong knowledge of machine learning approaches and algorithms.
- Ability to solve ambiguous problems, prioritize work independently, and collaborate with internal and external partners.
- Strong collaboration and mentorship skills, with adaptability in learning evolving AI systems and tools.
Nice to have
- Advanced degree in computer science or a related field.
- Experience with TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Experience with machine learning and ranking infrastructures and system design.
Culture & Benefits
- In-person collaboration through a default-together working model.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages that may include RSU equity and participation in 's long-term success.
- Equal employment opportunity across legally protected classifications.
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