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Engineering Manager Machine Learning
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Engineering Manager ....
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Engineering Manager Machine Learning

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1 Vacancy
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Job Location

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USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2337933
- Job Title: Engineering Manager, Machine Learning
- Location: San Francisco, CA
- Job Type: Full-time, Hybrid
- Department: Engineering
- Responsibilities: Lead a team of Engineers to develop and enhance the company's marketing platform using machine learning.
- Key tasks: Participate in the technical design, development, implementation, and support of web stack and machine learning applications. Collaborate with the product management team to achieve business goals. Serve as a technical domain expert in machine learning, data processing, and data serving architectural design decisions. Manage high-performing teams.
- Requirements: Experience in leading teams building products based on machine learning. 3 years of industry experience using ML to solve real-world problems with large datasets. Track record of building reliable, high-uptime systems. Ability to translate business needs into scoped ML projects. Excitement for new technologies.
- Scale: The company's production cluster contains over 9,000 containers which serve 170+ services. Their streaming services process over 28 billion events per month.
- Tools: Java / Spring Boot microservices, React and TypeScript, GraphQL, Storybook, Radix UI, Vite, esbuild, Playwright, Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas.
- Perks and Benefits: Competitive perks and benefits from health & wellness to equity.
- Salary: The standard base salary range for this position is $199,200 to $298800 annually. This position is also eligible for equity in the form of RSUs.
- Company Values: Default to Action, Be One Unstoppable Team, Champion the Customer, Act Like an Owner.

Employment Type

Full Time

Company Industry

Key Skills

  • Hospitality Experience
  • Go
  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems
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