TL;DR

Staff / Principal Machine Learning Engineer (AI): Responsible for researching, building, optimizing, and deploying the production ML systems that power our platform with an accent on quality, latency, and cost-effectiveness. Focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software.

Location: Must be based in or relocate to Mountain View, California, USA

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

Company

Inworld's technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat.

What you will do

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

Requirements

A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience.
5+ years of combined experience in software development (Python, C++) and applied ML engineering.
Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning.
Strong foundation in data structures, algorithms, and neural network architectures.
Proficiency with ML frameworks such as PyTorch.

Nice to have

A passion for learning and staying up-to-date with the latest advancements in ML research and its applications.
Ability to work collaboratively in a fast-paced environment with shifting priorities.
Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models.
Knowledge of working with embedded systems and/or running ML on edge devices.
Strong background in mathematics and/or physics.

Culture & Benefits

We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture.