채용
Job Description
Team: AI Agents |Location: Melbourne / Sydney
What we have built
We run production AI agents that autonomously resolve customer service tickets across 100,000+ Zendesk accounts. Each agent takes a customer issue, decomposes it into a multi-step plan, executes real actions refunds, order modifications, escalations through live APIs, and closes the ticket without a human in the loop.
The core uses a proprietary iterative architecture: goals decompose into plans, reusable skills are pulled from a registry, execution is evaluated, and the result feeds the next attempt. Successful resolution patterns are synthesised into new skills and written back into the registry the system learns from its own execution history.
On GAIA-class multi-step tool-use benchmarks, our agents match the best published results. Internally, 158+ scenario-based evals run continuously against real Zendesk tickets, scored through Braintrust with regression detection on every deploy.
What you will own
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Architecture: The iterative planner works. What we have not solved: plan decomposition under ambiguous goals, memory-tier interference across concurrent sessions, over-eager skill acquisition, and multi-agent delegation via A2A. These are yours to take on.
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Domain-specialised training: We are building toward RL-trained models specialised for customer service resolution. The data pipeline is instrumented. The next step reward curricula, rollout systems, feedback loops is a 6–12 month build. You own both the science and the systems.
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Evaluation infrastructure: 158+ evals run continuously, but multi-turn evaluation and automated trajectory analysis are early. You will build the quality gates that block deploys when performance drops, integrated into CI from the start.
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Guardrails at scale: Tool misuse, cascading action chains, prompt injection, hallucination loops: the threat surface for autonomous agents at enterprise scale is real. You will design the multi-layered defences supervisor patterns, capabilities-based access control, output validation that work across thousands of concurrent sessions without adding latency.
What we are looking for
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5+ years building production ML/AI systems. You have shipped agent architectures that handle planning, tool dispatch, memory, and failure recovery. If your experience is Lang Chain tutorials, this is not the right fit.
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You have built internal evals because you know why public benchmarks lie, and you have the scars to prove it.
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Python and Py Torch fluency, plus at least one agent framework and the judgment to know when to throw it out and build custom.
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Bonus: genuine depth in RL for language models reward shaping, online/offline tradeoffs, reward hacking as a diagnostic. We are building toward domain-specialised training and need someone who can lead that work.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
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Zendesk 소개

Zendesk
PublicZendesk develops a customizable customer service platform for organizations.
5,001-10,000
직원 수
San Francisco
본사 위치
$13.2B
기업 가치
리뷰
3.6
10개 리뷰
워라밸
3.8
보상
2.5
문화
4.0
커리어
2.5
경영진
2.8
65%
친구에게 추천
장점
Flexible working hours
Good work environment and culture
Supportive team and colleagues
단점
Compensation and pay issues
Poor management decisions and lack of direction
Lack of career advancement opportunities
연봉 정보
356개 데이터
Mid/L4
Director
Mid/L4 · Data Scientist II
2개 리포트
$192,660
총 연봉
기본급
$148,200
주식
-
보너스
-
$192,660
$192,660
면접 경험
2개 면접
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Questionnaire/Pre-screening
3
Online Assessment
4
Behavioral Interview
5
Technical Interview
6
Offer
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
뉴스 & 버즈
Help Desk Migration Delivers Enterprise Zendesk to Salesforce Agentforce Migration for Pandora - Yahoo Finance UK
Yahoo Finance UK
News
·
1w ago
Common Mistakes When Implementing AI Support for Zendesk and How to Avoid Them - citybiz
citybiz
News
·
2w ago
Rue Gilt Groupe plugs Riskified into Zendesk to curb fraud - SecurityBrief UK
SecurityBrief UK
News
·
2w ago
Zendesk Says AI Makes Code Abundant, Shifting the Bottleneck to “Absorption Capacity” - infoq.com
infoq.com
News
·
2w ago