Machine Learning Engineer

about 1 month ago

Mountain View, CA, USAMid Level / Senior

Base Salary

$196k - $221k/yr

Responsibilities

Architect, build, and evolve large-scale SID / ASR / NLP / LLM systems.
Lead the design and implementation of training and inference strategies for large models.
Design and improve model architectures and training techniques.
Own end-to-end ML system lifecycles from prototyping to deployment.
Collaborate with product and infrastructure teams to translate research into production systems.
Drive improvements in model performance and operational excellence.
Set technical direction for ML infrastructure and deployment workflows.
Identify and resolve complex problems in model behavior and data quality.
Mentor and elevate other engineers within the team.

Bachelor’s or Master’s degree in Computer Science or related field with 3+ years of experience; PhD preferred.
Deep, hands-on experience with large language models and understanding of their trade-offs.
Strong command of modern ML research and ability to evaluate production-worthy papers.
Interest in creating innovation and advancing applied research.
Extensive experience deploying and operating ML systems in production.
Comfortable working with large-scale speech and conversational datasets.
Experience scaling ML systems across training, inference, and serving infrastructure.
Effective at cross-functional collaboration with various teams.
Ability to lead technical projects independently.
Experience with agentic systems or multi-model orchestration is a plus.
Significant experience in areas like speech recognition, TTS, or modern NLP tasks.

PyTorch