---
title: 'Senior Machine Learning Engineer at Replicant'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-replicant-united-states-37m38ddfdqj2'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Machine Learning Engineer at Replicant

- **Company:** Replicant
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-01
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/replicant/3fe8ebbe-5310-46ab-97a7-2a68dd5f617a

## 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](https://www.replicant.com/for/aaa) or [Fanatics](https://www.replicant.com/nfl)–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.

## 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 and we’ll work to meet your needs.

## About Replicant

## Company Overview
- **One-liner**: Replicant provides AI-powered contact center automation that replicates the best performance of human agents to resolve customer conversations across voice, chat, and SMS.
- **Entity Type**: Private (Series B, $78M raised in April 2022)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Gadi Shamia (CEO & Co-Founder), Benjamin Gleitzman (CTO & Co-Founder), Jack Abraham (Co-Founder & Investor)

## Core Business
- **Primary industry**: Conversational AI / Contact Center Automation
- **Target customers**: Enterprise B2B – contact centers seeking to automate customer service workflows while empowering human agents.
- **Mission / purpose statement**: Use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

## Products & Services
- **Conversation Automation**: Premium AI agents that listen, understand, and execute actions across voice, chat, and SMS – built to achieve a 50% call resolution rate for payment-related calls.
- **Conversation Intelligence**: Real-time analytics and insights across both AI and live agents to spot gaps, improve performance, and surface trends.
- **Platform capabilities**: Seamless integrations with CCaaS and CRM systems, enterprise-grade security, and a proven two-week deployment methodology.

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private company).
- **Key Metrics**: Total funding – $113M across 3 rounds. Annual revenue – estimated at $3.5M (LinkedIn-derived). 1B+ minutes automated, 200+ successful deployments, 65 NPS.
- **Notable Investors / Partners**: Norwest Venture Partners (led Series A and seed), Stripes (led Series B), Atomic (seed), and other institutional investors.
- **Growth Signals**: 176 total employees (Built In) / 152 employees (LinkedIn, -9.4% YoY but +150% monthly job postings). Offices in US, Canada, UK, and Portugal. Headcount is 45% technical. 14,308 LinkedIn followers (+15.9% yearly).

## Competitive Advantages
- **AI-building-AI**: Proprietary approach that uses existing conversation data to rapidly generate testable AI agents without manual trial-and-error.
- **Speed of deployment**: Start testing a workflow-specific AI agent within one hour; deploy to production in two weeks.
- **Unified platform**: Combines automation and intelligence on one platform, eliminating tool sprawl and giving holistic visibility.
- **Enterprise proven**: 50% call resolution on payment calls, 20% lower abandonment rate, and integration with major CCaaS/CRM systems.

## Strategic Focus
- Expand global footprint (current presence in North America, Europe) and scale the engineering and sales teams.
- Continue advancing automation capabilities to handle increasingly complex, multi-channel workflows.
- Maintain rapid deployment velocity while strengthening security and compliance for large enterprises.

## Why Work Here
- **Culture**: Values include “Bread Makers” (humble, egalitarian), “Självdistans” (self-distance – objective reflection), and “Blade Runners” (ownership and resourcefulness). Frequent team offsites and strong collaboration.
- **Work policy**: Remote-friendly with hybrid offices in the US and Canada. Employees can work from anywhere; those near offices mix on-site and remote.
- **Benefits**: Competitive health/dental/eye care, company equity, flexible vacation, wellness stipend, equipment stipend, and a sabbatical program after 5 years (up to 5 weeks).
- **Engineering culture**: 110+ engineers, product, and conversation design experts with deep expertise in AI, ML, linguistics, and contact center ops.

## Sources
1. [Replicant Careers Page](https://www.replicant.com/careers)
2. [Replicant About Page](https://www.replicant.com/about)
3. [Replicant Homepage](https://www.replicant.com/?lang=en)
4. [Built In Profile](https://builtin.com/company/replicant-1)
5. [LinkedIn Company Page](https://www.linkedin.com/company/replicant)

## Other roles at Replicant

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- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-replicant-remote-ta36xh8f3p3x)
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