
Cloud communications platform
Staff ML/AI Engineer
必須スキル
Python
Machine Learning
Say hello to opportunities.
It’s not everyday that you consider starting a new career. We’re Ring Central, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers.
The Mission
You will play a lead role in a high-impact transformation: evolving Ring Central’s 1,300-person global technical support organization from a human-centric operation into a hybrid, agentic AI ecosystem. We are moving beyond traditional chatbots to build autonomous voice AI agents capable of reasoning, planning, and executing complex support workflows to resolve customer issues at scale.
The Role
As a Staff ML/AI Engineer in the Agentic Support Technology team, you will serve as a hands-on technical leader for our production ML/AI initiatives. You will design, build, and scale production ML/AI systems, bringing cutting-edge research into reliable, high-performing solutions for millions of users. Leveraging deep experience in optimizing and scaling ML/AI solutions, you will ensure our systems are robust, performant, and dependable.
Responsibilities
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Design, build, and operate large-scale, production-grade machine learning and agentic AI systems powered by LLMs.
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Ensure the safety, reliability, scalability, and performance of ML/AI systems across their full lifecycle.
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Translate experimental models and prototypes into robust, high-performing production solutions.
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Collaborate cross-functionally to integrate ML/AI products, uphold high engineering quality and ethical AI standards, and continuously optimize system performance.
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Provide technical leadership through mentorship, architectural guidance, and the establishment of best practices in ML/AI engineering.
Qualifications
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Bachelor’s, Master’s, or PhD in Computer Science or a related field.
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10+ years of professional software engineering experience, with a strong track record of building and operating large-scale systems.
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5+ years of hands-on experience building and operating production-grade machine learning systems.
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1+ year of hands-on experience building and operating production-grade agentic AI systems powered by LLMs.
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Strong proficiency in Python and experience designing robust ML/AI system architectures.
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Excellent written and verbal communication skills in English.
What we offer
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Well-coordinated professional team.
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Cutting edge technologies, interesting and challenging tasks, dynamic project, great opportunities for self-realization, professional and career growth.
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Additional Health and Life Insurance Package.
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Employee Assistance Program.
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25 vacation days.
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102.26 EUR/200 BGN Digital Food Vouchers.
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61.36 EUR/120 BGN Gross as part of the salary for Working Expenses Allowance.
About Ring Central
Ring Central, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™ (MVP™) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, Ring Central® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. Ring Central is headquartered in Belmont, California, and has offices around the world.
Ring Central is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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RingCentralについて

RingCentral
PublicRingCentral, Inc. is an American provider of cloud-based communication and collaboration products and services. The company is headquartered in Belmont, California with other US offices in Denver, Charlotte, and Dallas.
1,001-5,000
従業員数
Belmont
本社所在地
$1.2B
企業価値
レビュー
10件のレビュー
3.7
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
4.0
キャリア
3.0
経営陣
3.5
68%
知人への推奨率
良い点
Good compensation and competitive salary
Supportive management and leadership
Flexible work arrangements and remote options
改善点
High pressure and stress
Long hours and heavy workload
Fast-paced and overwhelming environment
給与レンジ
88件のデータ
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0件のレポート
$140,700