TL;DR

Staff Machine Learning Engineer (AI): Researching, building, optimizing, and deploying production ML systems powering real-time conversational AI applications with an accent on model quality, latency, cost, and on-device constraints. Focus on designing and implementing cutting-edge ML models, solving complex engineering challenges, and collaborating with product and backend teams to deliver robust AI solutions.

Location: Mountain View, California, USA with relocation assistance provided

Salary: $240,000 - $385,000 + bonus + equity + benefits

Company

%hirify_global% pioneers real-time conversational AI for games, entertainment, and consumer applications, backed by top-tier investors and recognized globally as a leading AI startup.

What you will do

Experiment with and implement cutting-edge ML models and techniques to advance core AI capabilities.
Train, evaluate, and optimize production-scale models focusing on quality, latency, cost, and on-device constraints.
Collaborate with product and backend teams to translate research into production-ready solutions.

Requirements

Must be located in or willing to relocate to Mountain View, California, USA.
PhD or equivalent research/engineering experience in a relevant technical field.
5+ years experience in software development (Python, C++) and applied ML engineering.
Experience with ML in NLP, speech processing, or action planning.
Strong foundation in data structures, algorithms, neural network architectures, and proficiency with PyTorch.

Nice to have

Passion for continuous learning and staying current with ML research.
Experience with pre-training, fine-tuning, RLHF, and evaluation of large language and speech models.
Knowledge of embedded systems and running ML on edge devices.
Strong background in mathematics and/or physics.

Culture & Benefits

Relocation assistance to Mountain View office.
Equity, bonus, and comprehensive benefits package.
Collaborative in-person work environment focused on solving challenging AI problems.