lumeris

Sr. Data Scientist - AI Voice

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At a Glance

Location
Massachusetts, United States
Work Regime
remote
Employment
Full time
Experience
5+ years
Compensation
g range for this position is: $113,800.00-$154,525.00 Benefits of working at Lumeri
Posted
2026-07-23

Key Requirements

Required Skills

Data ScienceDeep LearningGCPMachine LearningNLPPyTorchPythonTensorFlow

Domain Knowledge

  • Clinical
  • Healthcare

Requirements

relevant data science, machine learning, or applied AI experience,

Must-have hands-on experience building and deploying production voice or conversational AI systems — speech and speech-to-speech, working with real audio in live environments, not text-only NLP or chat.

Must-have demonstrated experience training neural networks from scratch and fine-tuning language models, with the ability to explain different training approaches and when each applies.

Proven track record of shipping, scaling, and hardening AI systems in production.

Strong programming skills in Python and fluency with modern deep learning frameworks (PyTorch, TensorFlow).

Working knowledge of real-time audio infrastructure and telephony integration.

Compensation & Benefits

Factors that may be used to determine your actual pay rate include your specific skills, experience, qualifications, location, and comparison to other employees already in this role. In addition to the base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements.

The hiring range for this position is:

$113,800.00-$154,525.00

Benefits of working at Lumeris

Medical, Vision and Dental Plans

Tax-Advantage Savings Accounts (FSA & HSA)

Responsibilities

We're seeking a Senior Data Scientist to build the voice AI and model capabilities behind Tom, our AI-enabled primary care platform.

Reporting directly to our VP of AI, you'll split your time between two halves of the same problem: developing and fine-tuning the models that power clinical AI, and building the voice systems that let us test, stress, and trust those models before they ever reach a patient.

This is a hands-on, build-first role for someone who has personally trained models and shipped conversational voice systems into production.