Staff ML Engineer: AI Model Optimization & Speech (Remote)

Greenhouse Software, Inc.; Sandy (UT); Hybrid; USD 140,000 - 190,000; Full time

Job summary

NiCE is seeking a Staff Machine Learning Engineer to join NiCE Labs Research (NLR). You will evaluate and optimize AI models, including speech models, across Cognigy’s agentic systems, and work with NLR to extend evaluation frameworks and build proof-of-concept implementations.

You will collaborate with cross-functional teams, monitor state-of-the-art models, and design robust evaluation protocols. Ideal candidates hold an MS in a relevant field, have 3+ years of hands-on ML experience, and are

Qualifications

• MS in computer science, machine learning, data science, or a related field.
• Experience with ML model training, fine-tuning, and evaluation.
• Proficiency in Python and ML frameworks.

Responsibilities

• Design and run model evaluations, including human-judged protocols and automated metrics validation.
• Design and execute optimization strategies to improve quality, latency, and cost.
• Deploy and benchmark open-weight models on cloud platforms.

Skills

Python

PyTorch

TensorFlow

AWS

Azure

GCP

Docker

GPU inference

Quantization

Distillation

Fine-tuning

Evaluation design

Education

MS in CS/ML/DS or related field

Tools

Docker

Job description

NiCE is seeking a Staff Machine Learning Engineer to join NiCE Labs Research (NLR). You will evaluate and optimize AI models, including speech models, across Cognigy’s agentic systems, and work with NLR to extend evaluation frameworks and build proof-of-concept implementations.

You will collaborate with cross-functional teams, monitor state-of-the-art models, and design robust evaluation protocols. Ideal candidates hold an MS in a relevant field, have 3+ years of hands-on ML experience, and are