Otterai

Machine Learning Engineer

Mountain View, CA

Sponsorship not specified$196k-$221kDetected 25 days ago

Machine LearningPyTorchData EngineeringNLPLLMsAgentic AIResearchCollaboration

About the role

Join our core AI team responsible for ML and work alongside industry-veteran scientists and engineers.

Architect, build, and evolve large-scale SID / ASR / NLP / LLM systems that power mission-critical product experiences including summarization, chat, and speech understanding across millions of conversations.
Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.
Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, informed by both research and production constraints.
Own end-to-end ML system lifecycles, from research prototyping through production deployment, monitoring, iteration, and long-term maintenance.
Partner deeply with product, and infrastructure teams to develop and translate cutting-edge research into scalable, production-grade systems that deliver measurable user and business impact.
Drive system-level improvements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.
Mentor and elevate other engineers, influencing team standards, reviewing designs, and contributing to a culture of strong technical decision-making and execution.
Has deep, hands-on experience building, fine-tuning, and post-training large language models or other foundation models, including an understanding of failure modes and trade-offs.

Set technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.
Identify and resolve complex, ambiguous problems in model behavior, data quality, scaling, and system interactions, often before they surface as user-visible issues.
Holds a Bachelor's or Master's degree in Computer Science or a related field with 2+ years of relevant industry experience
PhD is preferred.
Demonstrates strong command of modern ML research, with the ability to critically evaluate new papers and decide what is production-worthy versus experimental.
Has interest in creating innovation and advancing applied research
Has extensive experience deploying, monitoring, and operating ML systems in production, including model versioning, rollback strategies, and performance regression detection.
Has experience scaling ML systems across training, inference, and serving infrastructure while balancing cost, latency, and reliability constraints.

Salary Range: $196,000 to $221,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position.
The actual base salary offered for the role is dependent based on several factors.
Our base salary is just one component of our comprehensive total rewards package.

This listing is sourced directly from Otterai's careers page and normalized into a canonical job model.