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PowerSchool

Senior Staff Machine Learning Engineer

🇺🇸 Dallas, TX 🕑 Full-Time 💰 $159K - $199K 💻 Software Engineering 🗓️ February 22nd, 2026

Edtech.com's Summary

PowerSchool Group LLC is hiring a Senior Staff Machine Learning Engineer. The role involves developing and supporting AI and Generative AI products, building production-scale GenAI solutions, and managing data pipelines and ML infrastructure to enhance K-12 cloud-based educational software.

Highlights
  • Build AI solutions using Generative AI models such as GPT-4, Claude, and Gemini.
  • Design and implement fine-tuning of SLMs and core machine learning models.
  • Develop and support ML pipelines and deploy models in AWS SageMaker.
  • Work with messy enterprise data, performing ETL transformations for AI decision-making.
  • Establish MLOps standards around governance, compliance, and data security.
  • Required skills include deep learning, NLP, transformer models, SQL, and AWS services like SageMaker, EMR, Lambda.
  • Minimum 5+ years experience in software engineering, machine learning, or applied AI research.
  • Master's degree in computer science, data science, mathematics, or related field.
  • Compensation range estimated between $159,000 - $198,700 USD.
  • Comprehensive benefits including insurance, 401(k), parental leave, and tuition reimbursement.

Senior Staff Machine Learning Engineer Full Description

Compensation & Benefits

PowerSchool offers the following benefits:

  • Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
  • Flexible Spending Accounts and Health Savings Accounts
  • Short-Term Disability and Long-Term Disability
  • Comprehensive 401(k) plan
  • Generous Parental Leave
  • Unrestricted paid time off (known as Discretionary Time Off - DTO)
  • Wellness Program, including ClassPass & Employee Assistance Program
  • Tuition Reimbursement
  • Optional Benefits: Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage

A reasonable estimate of the base compensation range for this position is $159,000 - $198,700 USD. This compensation range is specific to the United States and it incorporates many factors including but not limited to an applicant's skills and prior relevant experience and training; licensures, degrees, and certifications; internal equity; internal pay ranges; and market data/range parameters.