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Machine Learning Engineer

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Robert Half

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Location:
United States , Philadelphia

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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 Machine Learning Engineer to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions.

Job Responsibility:

  • Design, implement, refine, and validate machine learning algorithms for products and applications
  • Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring
  • Train machine learning models
  • validate model accuracy and performance prior to deployment
  • Deploy validated machine learning models into production environments and support ongoing monitoring
  • Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development
  • Test and evaluate machine learning solutions
  • complete case studies, testing, and reporting
  • Research, write, and maintain technical documentation, including: Evaluation plans, Confluence pages, White papers and presentations, Test results, technical manuals, and formal recommendations
  • Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects

Requirements:

  • Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline
  • Equivalent industry experience will be considered in lieu of a degree
  • Hands-on experience with machine learning, deep learning, data mining, and/or statistical analysis
  • Experience deploying, monitoring, and validating machine learning models in production
  • Strong programming and software development skills using Python, Java, or Scala
  • Experience with data pipeline and cloud technologies such as Kafka, Spark, and Docker
  • 3–5 years of related experience post‑Bachelor’s degree
  • A recent Master’s degree is a plus

Nice to have:

  • Experience supporting proof‑of‑concept or research‑driven initiatives
  • Strong technical writing skills and comfort producing detailed documentation
  • Experience collaborating in cross‑functional or matrixed team environments
What we offer:
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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