$80K — $100K *
Our platform lets companies offer high-touch customer service without hiring, offshoring, or adding complex technical infrastructure to your call center. Replicant’s autonomous contact center handles call flows so agents can focus on what matters to customers, rather than answering mundane questions.
At Replicant, we’re creating a market for human-to-machine communications for the enterprise and redefining what it means to have machine driven conversations. We’re starting with customer service but the opportunity is much larger as we enter new markets and verticals. If you’re excited by AI and automation and want to make an impact with great technologists from MIT and Berkeley and strong go-to-market leaders from companies like Salesforce and Talkdesk, look no further.
Replicant is an ecosystem for crafting conversations, with in-house Deep Learning models and algorithms that allow our Thinking Machines™ to listen, think, and interact with the world. Our Machine Learning models are in the critical path of our product and at the cutting edge of industry and academia. We are working on novel problems and bringing our solutions from research to production, focusing our attention not only on accuracy metrics, but also on explainability, latency and resource consumption.
That’s where you come in! We’re looking for Machine Learning Engineers with experience researching and developing Machine Learning models in any of the disciplines required to create amazing Conversational AIs: NLU, NLP, ASR, Dialog Management and TTS.
Our stack includes Python (3.x), PyTorch, SciKit, Node (TypeScript), Docker, Kubernetes, Kubeflow.
Valid through: 4/23/2021