ML Software Engineer: Build Scalable AI Apps

Meta

Tallahassee (FL)

On-site

USD 184,000 - 257,000

Full time

3 days ago
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Job summary

Meta is seeking experienced software engineers to join teams building cutting-edge products that connect billions of people worldwide. You will tackle complex technical problems, create new features, and improve existing products across mobile and web platforms.

You will work with cross-functional teams to push user experience forward and mentor peers while leading key initiatives. The role focuses on building scalable ML-driven systems, applying modern frameworks, and delivering measurable

Qualifications

  • Demonstrated experience driving change within an organization and leading complex technical projects.
  • Experience using data and analysis to explain problems and provide solutions.

Responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences.
  • Implement custom user interfaces using the latest programming techniques.
  • Analyze and optimize code for quality, efficiency, and performance.
  • Provide technical guidance, mentor peers, and onboard new team members.
  • Architect efficient and scalable systems for complex applications.
  • Identify and resolve performance and scalability issues; reduce technical debt.
  • Work with a variety of coding languages and technologies.
  • Own components, features, or systems with end-to-end understanding.

Skills

Cross-functional collaboration
Data-driven problem solving
Machine learning systems
Code quality optimization

Education

Masters degree or PhD in Computer Science or related field

Tools

TensorFlow
PyTorch
Scikit-learn

Job description

Meta is seeking experienced software engineers to join teams building cutting-edge products that connect billions of people worldwide. You will tackle complex technical problems, create new features, and improve existing products across mobile and web platforms.

You will work with cross-functional teams to push user experience forward and mentor peers while leading key initiatives. The role focuses on building scalable ML-driven systems, applying modern frameworks, and delivering measurable

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