Machine Learning Engineering Assistant

Are you interested in defining how Generative AI will shape the future of work?
We are a Silicon Valley Series D startup, spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more. Cresta launched in 2020. Since then, we've grown revenue and our team by 300% and became officially a Unicorn. We've assembled a world-class team of AI and ML experts, go-to-market leaders, top-tier investors, and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, Tiger Global, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Holiday Inn, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.

We are growing our machine learning team in North America. Join us to develop great products in an exceptional strong team.

Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations using our patented real-time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers.

About Your Role

As an ML software engineer intern, you will join a team full of talented experts in frontend, backend, and ML/NLP. We have an in-house product for call analysis, building, evaluating, and deploying conversational AI models, and have labelers and analysts available. We work on a variety of ML problems, including but not limited to text generation, classification, summarization, etc. Our team leverages the latest in cutting edge LLM and RAG technologies to enable a truly market differentiated product suite.

Responsibilities

• You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue individual projects.
• Collaborate with senior MLEs on the team to conduct various ML experiments leveraging state-of-the-art techniques (including LLM and RAG) and best practices.
• Actively contribute to the continuous improvement of our ML productivity, by identifying and leveraging opportunities for automation, data improvements, code optimization, and process enhancements.
• Help shape the direction of machine learning and artificial intelligence at Cresta.

Qualifications

• Hands-on experience in ML/NLP models and pipelines.
• Hands-on experience with LLMs and RAG.
• Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
• Solid understanding of software development principles, data structures, algorithms, and design patterns.
• Experience with model optimization is a plus.

Compensation and Benefits

• $30-$50 per hour subject to taxes.
• Lunch can be expensed (up to $25) while working in the office.