Machine Learning Engineer, New Grad
_[_ [_**Quora 是一个私人公司，远程第一*](https://www.quora.com/q/quora/Remote-First-at-Quora) _**.***这个职位可以从美国或加拿大任何地方进行远程执行。请访问_ [_careers.quora .com/eligible-country_] https://carers.quore.com/eligable-country) 详细了解就业资格按国家.]_ ### **关于 Quora:** Quora 的使命是增长全球集体智能。为了这样做，我们有两个平台：- [Quora]http://quora. com): 云平台：一个全球知识共享平台，每月有数百万独特的访问者，让人们聚集在一起分享各种主题的见解，并提供与他人学习和联系的独特平台。- [Poe](https://poe.com/):云工作空间中数百万人使用多个人工智能代理在共同背景和工具上运行。一个订阅，每个边界模型以及使他们一起工作的协作层。这些产品背后是热情，合作和高性能的全球团队。我们有一个文化根植于透明度，想法共享和实验，这使我们能够通过有意义的工作来庆祝成功和共同成长。加入我们在这个旅程中创造积极影响和对世界产生重大变化。** 这一角色将是为我们的 Quora 产品工作.** ### **关于团队和作用：** 我们的 ML 团队很小，高度协作，解决数以亿计的 Quora 用户的影响挑战性的问题。我们鼓励工程师思考大，实验新想法，不断学习和改进。随着生产100多个 ML 模型，工程师有机会掌握有意义的项目，与经验丰富的同事密切合作，并快速看到他们的工作的影响。我们正在构建下一代人工智能系统，以提高内容质量和安全度在 Quora.通过利用 LLM 和代理工作流程，我们正在改变我们检测有害内容的方式，自动化复杂的决策，并应对规模上不断发展的挑战。作为**机器学习工程师 （新级）**,你将与经验丰富的工程师一起设计，评估和部署这些系统。**不需要先前的信任和安全经验.**你将从建造这些系统的工程师那里学到东西。**Stack:** Python, PyTorch, TensorFlow, Spark, Kubernetes ###**责任：** - 设计，构建和部署具有 LLM 能力的代理人来检测和解决垃圾邮件，骚扰，
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_[_ [_**Quora is a privately held, "remote-first" company**_](https://www.quora.com/q/quora/Remote-First-at-Quora) _**.** This position can be performed remotely from anywhere in the US or Canada. Please visit_ [_careers.quora.com/eligible-countries_](http://careers.quora.com/eligible-countries) _for details regarding employment eligibility by country.]_
### **About Quora:**
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- [Quora](http://quora.com): a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- [Poe](https://poe.com/): a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
**This role will be working on our Quora product.**
### **About the Team and Role:**
Our ML team is small and highly collaborative, working on challenging problems that impact hundreds of millions of Quora users. We encourage engineers to think big, experiment with new ideas, and continuously learn and improve. With over 100 ML models in production, engineers have opportunities to take ownership of meaningful projects, work closely with experienced teammates, and quickly see the impact of their work.
We're building the next generation of AI-powered systems to improve content quality and safety across Quora. By leveraging LLMs and agentic workflows, we're transforming how we detect harmful content, automate complex decisions, and respond to evolving challenges at scale. As a **Machine Learning Engineer (New Grad)**, you'll work alongside experienced engineers to design, evaluate, and deploy these systems in production.
**No previous trust and safety experience is required.** You'll learn from the engineers who built these systems.
**Stack:** Python, PyTorch, TensorFlow, Spark, Kubernetes
### **Responsibilities:**
- Design, build, and deploy LLM-powered agents to detect and address spam, harassment, and other policy-violating content at Quora's scale
- Develop agentic workflows to automate complex tasks, improving the efficiency and effectiveness of our content and user moderation systems
- Design and improve ML systems that adapt to evolving abuse patterns and new challenges
- Evaluate agent performance through offline evaluations, online experiments, and production monitoring, balancing accuracy, reliability, latency, and cost
- Investigate failure cases, experiment with new approaches, and iterate on solutions to improve system performance
- Identify new opportunities to apply ML and LLMs to content quality and safety across Quora
- Collaborate with experienced engineers and take ownership of projects from early development through production
### **Minimum Requirements:**
- **Availability for meetings and impromptu communication during Quora's “** [**coordination hours**](https://quora.com/coordination_hours) **" (Mon-Fri: 9am-3pm Pacific Time)**
- B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field, completed or in progress
- Strong understanding of mathematical foundations of Machine Learning algorithms
- Coursework, research, or project experience with LLM applications or transformer models
- Strong knowledge of Python
- A passion for learning and always improving yourself and the team around you
- **Able to start full-time in early 2027**
### **Preferred Requirements:**
- Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
- Hands-on experience building and evaluating LLM agents, in projects, research, internships, or production
- Regular use of AI coding tools such as Claude Code or Codex
- Coursework or projects in natural language processing (NLP)
- Genuine interest in content safety and quality
- Passion for Quora's mission and goals
**At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.**
### **Additional Information:**
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $107,360 - $152,900 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $137,852 - $157,061 CAD + equity + benefits. For all other locations in Canada, the salary range is $128,661 - $146,590 CAD + equity + benefits.
- In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
**To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.**
Job Applicant Privacy Notice: [https://careers.quora.com/quora-global-job-applicant-privacy-notice](https://careers.quora.com/quora-global-job-applicant-privacy-notice)
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