Machine Learning Engineering Intern, Cresta
$45-$70 per hour subject to taxes + Equity
Real-time intelligence for contact centers
Open for applications
Real-time intelligence for contact centers
201-500 employees
Open for applications
$45-$70 per hour subject to taxes + Equity
201-500 employees
Company mission
To use AI to help people learn high-value skills and make business radically more productive.
Role
Who you are
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
- Strong understanding of machine learning fundamentals and generative modeling
- Ability to design and analyze experiments involving large-scale datasets
- Work authorization in the country of employment at the time of hire
What the job involves
- At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact center industry, focusing on improving agent productivity by providing access to the right knowledge at the right time
- Our current projects:
- Generative Knowledge Assist (GenKA): Real-time, context-aware suggestions for contact center agents, integrating with multiple knowledge bases to streamline information retrieval, reduce agent effort, and ensure accurate responses
- Knowledge Search (KS): A search experience tailored for contact center agents. Built on the GenKA stack, it aims to evolve into an enterprise search solution beyond contact centers
- Retrieval-Augmented Generation (RAG): A critical project underpinning GenKA, KS, and VA, enabling efficient retrieval of relevant knowledge content and generating read-to-use agent responses grounded in knowledge
- Our internships offer a dynamic, fast-paced environment where you’ll collaborate with top researchers and engineers in the field. We provide opportunities for interns to make significant contributions to AI research and apply novel techniques at scale
- This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments
- Design, develop, and deploy Cresta’s KA solutions and proprietary models
- Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios
- Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions
- Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
- Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA
- Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
Our take
Cresta is an innovative customer service platform, which leverages artificial intelligence in order to assist sales and service agents in improving their performance. The platform identifies the best employees, and analyses why they outperform their colleagues, before providing personalized guidance to other members of staff.
This unique approach makes it possible to share best practices rapidly, and both improve and consistently implement customer service across an organisation. The app is fully compatible with mobile platforms, effectively providing an expert at every customer touch point. In addition to this, the machine learning aspect of Cresta enables companies to continually optimize their performance.
Considering that over a trillion dollars is spent by businesses globally on customer service calls every year, Cresta has been afforded a massive opportunity if it can continue to improve this side of business for its clients. The company has already been recognized as an innovator in the space, and the expansion of its AI solutions suggests it is poised and ready to move with the times and find further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
129% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$125m
SERIES D
Mar 2022
$80m
SERIES C
Total funding: $276m
Company benefits
- Work with an A+ team of ex-Founders, world leading scientists, and nationally competitive athletes
- Weekly lunch & learn
- Mentorship - A world class mentorship board advises and mentors our team-members to capture the opportunity ahead of us
Company HQ
University South, Palo Alto, CA
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