Senior Machine Learning Engineer - Backend

Remote US and Canada /
Engineering – Machine Learning /
Full Time Employee
Replicant is a voice AI technology that works out-of-the-box to solve customer problems over the phone. We craft great conversations by combining Machine Learning, Artificial Intelligence, and linguistic conversational design into the fastest, smartest, and most expressive Thinking Machines™ you’ve ever spoken with.

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 algorithms we’ve built from scratch that allow our Thinking Machines™ to listen, think, and interact with the world. We have also built a suite of tools for conversation design and development, monitoring, testing, continuous learning, and constant improvement.

That’s where you come in. We’re looking for a Senior Machine Learning Engineer with an ability to dive into backend systems, implement clean communication between various theoretical and applied systems, solve tricky problems, and help innovate on our cutting-edge voice technologies.

Our stack includes TypeScript, JavaScript, Python (3.x), and Pytorch.

What You'll Do

    • Work on interesting challenges - not many of the problems we encounter have frameworks or well-defined solutions
    • Architect and build the backend infrastructure to train and deploy our models at scale
    • Optimize our models to run in our real-time, low latency system
    • Create tools to improve and analyze our models' performance
    • Implement and optimize cutting-edge deep learning models

What You'll Bring

    • 5+ years of proven professional experience as a Software Developer
    • Excellent communication skills and a vivid imagination
    • A keen eye for data flow and building understandable, testable systems
    • Independent thinking and passion to solve complex problems
    • Interest in exploring the nuance and aesthetic of conversations

    • Demonstrated project execution in at least two of the following areas:
    • Natural Language Understanding
    • Speech to Text and/or Text to Speech
    • Development of streaming systems for audio, video, etc.
    • Deep Learning model optimization for CPU or GPU (eg. quantization)
    • Low-level programming languages (C, C++, Rust, etc.) or CUDA
    • Experience with Python & Node/Typescript
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.