Staff Machine Learning Engineer, Replicant
Natural Language Processing
+ Equity
Call center AI chatbots
Job no longer available
Call center AI chatbots
101-200 employees
Job no longer available
+ Equity
101-200 employees
Company mission
To use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.
Role
Who you are
- In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Conversational AI
- Published research in the NLP field is highly desirable but not specifically required, indicating an ability to not only understand but also contribute to cutting-edge research
- Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications
- Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
- You love tackling ambiguous technical problems and developing solutions to problems with significant impact
- 7+ years of experience with machine learning algorithms and tools, or applied ML (e.g., NLP, Generative AI)
What the job involves
- The Core Conversations 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
- As part of its Conversational AI R&D team, 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
- As a Staff NLP Engineer, you will have access to various sets of LLM providers, as well as vast amounts of high-quality data that go into training and evaluating them
- You will be expected to lead the way in applying these models to transform our current approaches and creating groundbreaking new products that would have been impossible with the previous generation of technologies
- You’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your tasks will include:
- 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
Our take
Whilst automation and AI are being applied to industries across the world, customers must still endure long waits and inconsistent service from telecommunication services. In addition to this, customer service agents must answer the same repetitive questions hundreds of times every day, which is both expensive and inefficient. Replicant uses neural networks to provide completely autonomous call center technology, that aims to provide intelligent and human-like alternatives to customer service agents.
Replicant's service understands context, accents, slang, and technical terms, providing far more intelligent results than simple answer-recognition phone services. Although various startups are taking steps towards reducing bottlenecks within customer service calls through autonomous chatbots, Replicant stands out by focusing on providing realistic and engaging conversation through neural networks, providing a convincing replacement that reduces costs and frustrations within call centers of any type.
Replicant has secured a good amount of funding to fuel its to ambitions to expand research and development, improving its conversations, and launch new automated channels. The company also plans to increase headcount across a range of teams, onboard new customers, and launch professional development programs for its employees.
Freddie
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2022
$78m
SERIES B
Sep 2020
$27m
SERIES A
Total funding: $120m
Company benefits
- Company Equity: We view our employees as the true owners of Replicant and offer company equity.
- Health insurance: We offer a competitive package with health, dental, eye care, and retirement benefits.
- Remote-friendly: From the Bay to New Brunswick—we have employees across the world, so you can work wherever works for you!
- Frequent offsites: We take team-building seriously and love working side by side.
- Flexible vacation: Take a break when you need it so you can come back refreshed and ready.
- Sabbatical program: After you’ve worked at Replicant for 5 years, you are eligible to take a sabbatical for up to five weeks.
- Equipment stipend: All employees are set up with the essential equipment, but if you have special requests, you’re provided a stipend to cover these costs.
- Wellness stipend: We want employees to feel empowered to manage your fitness, health, and mental wellbeing so we offer a yearly wellness stipend.
Company HQ
Presidio of San Francisco, San Francisco, CA
Leadership
Gadi Shamia
(Co-Founder & CEO)They co-founded TopManage before spending 6 years at SAP and Magneto, as well as COO positions at Adobe and Talkdesk. They co-founded Replicant in January 2019, serving since as CEO.
Benjamin Gleitzman
(Co-Founder & CTO)Having studied at MIT, they worked as a Software Engineer for Hunch and co-founded NextStep and ShockBottoms. They spent 6 years as an eBay Software Engineer before co-founding Ruse, MONA, and Replicant.
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