Machine Learning Software Engineer

Genai & LLM

Confirmed live in the last 24 hours

201-500 employees

Website

AI-powered guidance for contact center efficiency

Company Overview

Cresta is a company that leverages generative AI to enhance the efficiency and effectiveness of contact centers, providing real-time guidance to agents based on top-performing practices and enabling managers to monitor every conversation for personalized coaching plans. Born out of the Stanford AI Lab and backed by reputable firms like Greylock Partners, Sequoia, and Andreessen Horowitz, Cresta has established a strong industry presence, partnering with renowned companies like Intuit, Cox Communications, Dropbox, and Blue Nile. The company's unique approach to addressing common contact center challenges, such as high attrition and inadequate training, positions it as a competitive player in the AI-driven business solutions sector.

AI & Machine Learning

B2B

Company Stage

Private

Total Funding

$151M

Founded

2017

Headquarters

Palo Alto, California

Growth & Insights

Headcount

6 month growth

↑ 16%

1 year growth

↑ 4%

2 year growth

↑ 118%

Locations

Toronto, ON, Canada • San Francisco, CA, USA • Remote in USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Docker

Google Cloud Platform

Microsoft Azure

Pytorch

Tensorflow

Natural Language Processing (NLP)

Kubernetes

Python

CategoriesNew

AI & Machine Learning

Software Engineering

Requirements

Master's degree or PhD in Computer Science or related technical fields
Minimum of 3 years of experience in software development, with a strong focus on machine learning and natural language processing
Proven hands-on experience in developing, deploying, and maintaining ML/NLP models and pipelines
Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers
Hands on experience with LLMs
Strong problem-solving, communication, and collaboration skills

Responsibilities

Collaborate with product managers, data scientists, and other cross-functional team members to understand, define, and detail product requirements, ensuring alignment with business objectives
Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM and ChatGPT!) and best practices
Work with our production teams to build and deploy scalable, high-performing, and reliable ML/NLP pipelines and systems that operate 24x7
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

Desired Qualifications

Experience with model optimization is a plus
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus

Who are we?

Are you interested in defining how Generative AI will shape the future of work?

We are a Silicon Valley Series C 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 engineering team in Toronto. 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.

As an ML software engineer, you will join the 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 GPT technologies to enable a truly market differentiated product suite.

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.

What you will do:

Collaborate with product managers, data scientists, and other cross-functional team members to understand, define, and detail product requirements, ensuring alignment with business objectives.
Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM and ChatGPT!) and best practices.
Work with our production teams to build and deploy scalable, high-performing, and reliable ML/NLP pipelines and systems that operate 24x7.
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.

What we look for:

Master’s degree or PhD in Computer Science or related technical fields.
Minimum of 3 years of experience in software development, with a strong focus on machine learning and natural language processing.
Proven hands-on experience in developing, deploying, and maintaining ML/NLP models and pipelines.
Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
Hands on experience with LLMs.
Experience with model optimization is a plus.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Strong problem-solving, communication, and collaboration skills.