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Описание вакансии
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TL;DR
Senior Engineer (AI/Python): Building and improving a high-performance analytics engine for AI, machine learning, and scientific data analysis with an accent on scientific Python, distributed computing, and scalable software architecture. Focus on designing parallel computing systems, productizing machine learning capabilities, and solving novel problems across software engineering, data visualization, and science.
Location: Remote or on-site in New York, New York, US, or San Francisco, California, US
Salary: $175,000–$250,000 per year
Company
Swayable is an AI and automated data science platform that measures public opinion and the impact of messages and advertising content.
What you will do
- Build, maintain, and improve the analytics engine powering the core product.
- Productize AI, machine learning, and data analysis capabilities.
- Architect, maintain, and optimize distributed and parallel high-performance computing systems.
- Design scalable, performant software solutions and write maintainable, testable code.
- Collaborate with engineers, data scientists, and research staff on new features and novel problems.
- Contribute across software engineering, data visualization, and scientific computing.
Requirements
- 5+ years of professional experience building scientific or quantitative data-intensive software.
- Expertise in scientific Python, object-oriented and test-driven development, vectorized code, and machine learning.
- Experience architecting and optimizing distributed, parallel computing systems.
- Knowledge of AI operations, software architecture, and scalable system design.
- Advanced STEM degree, such as an MSc or PhD.
- Strong problem-solving, communication, documentation, and technical mentoring skills.
Nice to have
- Experience with Celery and MongoDB.
- Thorough knowledge of Linux.
- Experience mentoring junior engineers.
Culture & Benefits
- Work with a 40-person team of engineers, data scientists, and research staff.
- Contribute to projects addressing disinformation, democracy, climate, human rights, elections, and consumer-brand growth.
- Collaborate with major technology companies, consumer brands, academic researchers, and civic advocacy organizations.
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