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Machine Learning Engineer II

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Robert Half

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Location:
United States , Philadelphia, PA or Washington, DC

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Research / Machine Learning Engineer II to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on model validation, quality, and automation, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.

Job Responsibility:

  • Design, build, and enhance machine learning models primarily used for validation and quality assurance of AI/ML-driven tools
  • Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams
  • Enhance and support existing AI/ML automation tools, including those working with speech and NLP data
  • Implement prompt-based interactions with Large Language Models (LLMs) to support validation and test use cases
  • Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions
  • Contribute software development efforts toward proof-of-concept initiatives in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable)
  • Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations
  • Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development
  • Ensure AI/ML solutions meet expectations for performance, reliability, scalability, and product quality

Requirements:

  • Minimum 4 years of overall professional experience in software engineering, machine learning, or related fields
  • At least 1 year of hands-on experience working directly with machine learning models
  • Practical experience designing, implementing, or validating ML models in real-world environments
  • Familiarity with LLMs and prompt-based model interactions, particularly for testing or validation purposes
  • Strong understanding of ML workflows, including data preparation, model development, evaluation, and deployment concepts
  • Experience collaborating within large, distributed engineering teams
  • Strong programming skills and problem-solving abilities
  • Demonstrated focus on product quality, validation, and continuous improvement

Nice to have:

  • Experience supporting or working alongside SDET or tooling teams
  • Exposure to AI/ML automation frameworks and validation pipelines
  • Familiarity with speech data, NLP systems, or voice-based platforms
  • Experience contributing to research-oriented or exploratory ML initiatives
What we offer:
  • medical, vision, dental, and life and disability insurance
  • eligible to enroll in our company 401(k) plan

Additional Information:

Job Posted:
April 11, 2026

Work Type:
Hybrid work
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