Job description

Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA replicant.com or Fanatics replicant.com bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada. Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference. The Machine Learning 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 that are applying the latest research in Generative AI and NLP - including LLMs and other advancements in research into our core product lines. What you'll do - Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields - Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences - Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth - Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment - Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals What you'll bring - 5+ years of software development experience in ML infra, ML tooling, or products with ML usage - Preferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search) - Excellent communication skills and a vivid imagination - Passion about engineering and team culture - You love tackling ambiguous technical problems and developing solutions to problems with significant impact - You are an independent thinker and like to own and solve complex problems - You are interested in exploring the nuance and aesthetic of conversations For all full-time employees, we offer: 🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal 🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them 📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar 🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being 💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build 📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company 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. Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai hr@replicant.ai and we’ll work to meet your needs.

Requirements

Must-haves

Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields
Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences
Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth
Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment
Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals
5+ years of software development experience in ML infra, ML tooling, or products with ML usage
Excellent communication skills and a vivid imagination
Passion about engineering and team culture
You love tackling ambiguous technical problems and developing solutions to problems with significant impact
You are an independent thinker and like to own and solve complex problems
You are interested in exploring the nuance and aesthetic of conversations
In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal
Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar
Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being
Compensation that matches your impact: competitive salaries in the company you’re helping to build
Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company

Nice-to-haves

Preferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpython

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Wellness