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Senior Staff Machine Learning Engineer_Voice AI Engineer

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Onsite

Senior Staff Machine Learning Engineer_Voice AI Engineer

Pantheon Systems, Inc

Senior Staff Machine Learning Engineer_Voice AI Engineer

Skills

Deep LearningPythonMachine LearningAI

13 days ago

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Important information


Contract type:

Permanent

Salary:

$180,000 – $240,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


Pantheon is seeking a senior machine learning engineer specializing in voice AI to develop intelligent voice-based systems and improve speech-driven user experiences. This role focuses on machine learning research, model development, and deploying reliable AI solutions in production environments.

Key Responsibilities

  • Design and develop machine learning models for voice AI applications
  • Build speech recognition, audio processing, and conversational AI systems
  • Optimize model performance, accuracy, and scalability
  • Collaborate with software engineers, product managers, and researchers
  • Evaluate models using testing, benchmarking, and real-world data
  • Maintain reliable and efficient machine learning pipelines

Requirements

  • Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field, or equivalent experience
  • Extensive experience in machine learning and AI engineering
  • Strong Python programming and deep learning skills
  • Familiarity with speech recognition, audio processing, and large language models
  • Experience deploying production-grade AI systems
  • Strong analytical and communication skills

Benefits

  • Competitive salary
  • Paid time off
  • Health benefits, subject to eligibility
  • Professional development opportunities

About the Company

Pantheon is known for its website operations and hosting platform. The connection between this company and the listed Voice AI engineering role should be verified before publishing.

Pay: $180,000.00 - $240,000.00 per year

Benefits:

  • 401(k)
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Parental leave
  • Relocation assistance
  • Retirement plan
  • Tuition reimbursement

Work Location: In person

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