Senior Machine Learning Engineer

Replicant

3d • Remote

About The Position

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 or Fanatics–our 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.

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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

Benefits

• 🌴 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed