Machine Learning Engineer with Expertise
6 days ago
About Snap Inc.
Snap Inc is a pioneering technology company that aims to revolutionize the way people live and communicate. Our mission is to empower individuals to express themselves, learn about the world, and have fun together through our innovative products and services. At the heart of our success lies our commitment to creating visually stunning and technically sophisticated experiences that reach hundreds of millions of users worldwide every day.
We are seeking a highly skilled Machine Learning Engineer to join our talented team of engineers who are passionate about building cutting-edge AI solutions that drive value for our users, advertisers, and the company as a whole. This role presents an exceptional opportunity for a seasoned professional to leverage their expertise in machine learning approaches and algorithms to develop and deploy impactful models that enhance user experience and drive business growth.
- Develop and implement machine learning models that drive value for users, advertisers, and the company
- Evaluate technical tradeoffs and make informed decisions
- Conduct code reviews and ensure high-quality code standards
- Benchmark and optimize model performance
What You'll Bring:
- Strong understanding of machine learning principles and algorithms
- Able to prioritize tasks and work independently
- Experience working with internal and external partners
- Ability to solve complex, open-ended problems
- Collaborative and mentorship skills
Requirements:
- Bachelor's degree in computer science, mathematics, statistics, or equivalent years of experience
- At least 3+ years of industry experience in machine learning
Preferred Qualifications:
- Advanced degree in computer science or related field
- Experience working with popular machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
- Knowledge of ranking infrastructures and system design
Salary: $168,000 - $252,000 annually (dependent on location)
Benefits:
- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Equity in the form of RSUs
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