Onsite Applied ML Engineer

Posted 34 minutes ago

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About the role

  • Applied ML Engineer building machine learning systems for Paramount's entertainment services. Implementing model integrations and data pipelines in a dynamic environment.

Responsibilities

  • Implement machine learning systems, including model integrations, data pipelines, retrieval systems, evaluation instrumentation, and service layers.
  • Translate technical direction into modular, maintainable codebases with clear interfaces.
  • Deliver working artifacts at defined milestones, including code, configuration, tests, and documentation.
  • Iterate on systems based on evaluation results, domain feedback, and integration requirements.
  • Refine performance, usability, and functionality within the scope of the system being built.
  • Implement evaluation hooks, metrics, and instrumentation defined by the ML Behavior Systems team.
  • Ensure systems can be tested against defined benchmarks and quality standards.
  • Build systems using ML Platform & Operations infrastructure for training, inference, and deployment.
  • Ensure compatibility with platform services, APIs, and constraints.
  • Design outputs as modular components with stable interfaces.
  • Include configuration controls, observability hooks, and error handling required for integration.

Requirements

  • 4+ years of software engineering experience in backend, systems, or ML-adjacent environments
  • 2+ years hands-on ML implementation.
  • Proficient programming skills, particularly in Python, and experience building APIs or services.
  • Working knowledge of machine learning systems, including model integration, evaluation, and debugging.
  • Experience building end-to-end systems from unclear requirements to working software.
  • Ability to operate in dynamic, iterative development environments.

Benefits

  • medical
  • dental
  • vision
  • 401(k) plan
  • life insurance coverage
  • disability benefits
  • tuition assistance program
  • PTO

Job title

Applied ML Engineer

Job type

Experience level

Mid levelSenior

Salary

$124,000 - $186,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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