Replicant
San Francisco
51-200 employees
A Contact Center Automation platform to resolve customer service conversations across voice, text and chat.
Prior Listings
Machine Learning Intern - PhD Students
Machine Learning Intern - PhD Students
This job is no longer open
Replicant was founded on the belief that machines are ready to have useful, complex conversations that will transform the way they interact with the world, starting with customer service.
As the leader in Contact Center Automation, Replicant helps companies automate their most common customer service calls while empowering agents to focus on more complex and nuanced customer challenges. Replicant's AI platform allows consumers to engage in natural conversations across voice, messaging and other digital channels to resolve their customer support issues, without the wait, 24/7. We are now leading the way in using Large Language Models (LLMs) to transform customer service- again.
If you're excited by AI, ChatGPT, LLMs and want to make an impact with other great technologists and strong go-to-market leaders, then look no further. We've grown our team by 3x, increased revenue by 4x, and were named a top enterprise AI company by The Information. We currently serve Fortune 500 customers, run millions of AI calls per month in production, and are increasing our footprint globally.
The ML team empowers enterprise customers and developers on Replicant’s platform to help create delightful conversations that provide fast and effective resolutions to their clients through contact center automation. We define and build the next generation of bot building paradigms for complex enterprise customer service and contact center automation scenarios. You will be part of a cross-functional group of engineers conducting applied research in the Conversational AI field to solve practical problems for chatbots in the Customer Service automation industry for enterprise customers.
This is a 12+ weeks full time internship, we have various start dates throughout the year.
What You'll Do
- Conduct applied research in the fields of Conversational AI and NLP to improve customer service chatbot conversation capability and quality
- Conduct applied research in the fields of HCI and NLP to make customer service chatbot easier to build for developers and easier to use by callers.
What You'll Bring
- Currently is in the process of obtaining a Ph.D. degree in NLP, Machine Learning, Artificial Intelligence, or relevant technical fields. Intent to return to the degree program after the completion of the internship/co-op.
- Proven track record of research capabilities, as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences.
- Experienced with Python and machine learning toolings. Familiar with common deep learning architectures (e.g. transformer).
Our Values
Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.
Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.
Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.
Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.
This job is no longer open