ML Engineer: End-to-End Open-Source Models, On-Device

ALKU; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

ALKU is a Revenue Activation Platform. We are seeking a Machine Learning Engineer to own the end-to-end lifecycle of models powering our roleplay, scoring, and coaching products. You will train, fine-tune, and deploy models that operate on live sales-call data, including on-device deployments when latency and privacy demand it.

You will design and maintain evaluation frameworks and benchmarks, ensuring robust quality before releases and continuous improvement of model performance in production.

Qualifications

• Fine-tuning and production deployment of open-source models.
• On-device model deployment with quantization and distillation.
• Design and maintain evaluation frameworks and benchmarks.

Responsibilities

• Fine-tuning and production deployment of open-source models.
• On-device model deployment with quantization, distillation, and model compression.
• Evaluation infrastructure: benchmarks and regression suites to prove improvements before release.

Skills

Fine-tuning

Production deployment

On-device deployment

Evaluation infrastructure

Open-source models

Model lifecycle

Job description

ALKU is a Revenue Activation Platform. We are seeking a Machine Learning Engineer to own the end-to-end lifecycle of models powering our roleplay, scoring, and coaching products. You will train, fine-tune, and deploy models that operate on live sales-call data, including on-device deployments when latency and privacy demand it.

You will design and maintain evaluation frameworks and benchmarks, ensuring robust quality before releases and continuous improvement of model performance in production.