Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and deploying large-scale AI systems for meeting transcription and summarization with an accent on ASR, NLP, and LLM model optimization. Focus on architecting production-ready ML pipelines, scaling inference strategies, and driving technical direction for conversational intelligence products.

Location: Must be based in or able to work from Mountain View, CA (Hybrid)

Salary: $230,000–$265,000 USD per year

Company

hirify.global is a leading AI-powered meeting transcription and collaboration platform backed by top-tier investors in Google, DeepMind, Zoom, and Tesla.

What you will do

• Architect and evolve large-scale ASR, NLP, and LLM systems for mission-critical product features.
• Lead the design and implementation of training, fine-tuning, and inference strategies using PyTorch or JAX.
• Own end-to-end ML system lifecycles from research prototyping through production deployment and maintenance.
• Partner with product and infrastructure teams to translate research into scalable, production-grade systems.
• Drive system-level improvements in model performance, robustness, and observability.
• Set technical direction and best practices for ML infrastructure, data pipelines, and evaluation frameworks.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field with 5+ years of industry experience.
• Deep hands-on experience building and fine-tuning large language or foundation models.
• Production experience in ASR, TTS, multimodal, or modern LLM/NLP systems.
• Extensive experience deploying, scaling, and operating ML systems in production environments.
• Strong command of modern ML research with the ability to evaluate and implement production-worthy innovations.
• Experience working with large-scale speech and conversational datasets.

Nice to have

• PhD in a relevant field.
• Experience with agentic systems, tool-use frameworks, or multi-model orchestration.
• Background in personalization, recommendation systems, or user modeling.

Culture & Benefits

• Opportunity to work on cutting-edge AI technology with industry-veteran scientists and engineers.
• Comprehensive total rewards package.
• Commitment to diversity, inclusivity, and equal opportunity employment.