机器学习工程师 II,视觉 AI
Machine Learning Engineer II, Visual AI
关于Pinterest:
全球数百万人来到我们的平台,寻找创意灵感,畅想新的可能性,并规划将伴随一生的回忆。在Pinterest,我们致力于为每个人带来创造理想生活的灵感,而这一切始于产品背后的每一个人。
在这里开启职业生涯,你将点燃创新,将热情转化为成长机会,庆祝彼此的独特经历,并拥抱灵活的工作方式,发挥出最佳状态。打造你热爱的职业?这完全有可能。
在Pinterest,AI不仅仅是一个功能,而是增强我们创造力、放大我们影响力的强大伙伴,我们正在寻找那些热衷于参与其中的候选人。为了全面了解你的经验和能力,我们将考察你的基础技能以及与AI协作的方式。
在我们的面试过程中,最重要的是你能清晰地解释你的思路,不仅展示你掌握的知识,更体现你的思维方式。你可以在此了解更多关于我们的AI面试理念,以及我们如何在招聘过程中使用AI。
Pinterest Labs团队专注于应用机器学习的开发与研究。我们的项目涵盖了广泛的AI/ML领域,包括基础计算机视觉、多模态大语言模型、多模态表征学习、生成建模、异构图神经网络和推荐系统。通过构建利用我们庞大的知识图谱和数十亿个Pin的基座机器学习模型,我们旨在显著提升核心Pinterest产品。
我们的视觉建模团队正在寻找新成员,专注于推动以视觉为中心的大语言模型的发展。我们正在构建能够感知复杂视觉细节并理解用户审美的VLM,通过多模态搜索和文本到图像模型等工具,促进通过视觉资产进行的沟通。这个职位提供了与Pinterest独特的视觉-文本数据集合作的机会,开发用于生产的大型生成模型。你将加入核心视觉小组,这是一个由大约六名工程师和一个产品原型团队组成的协作小组,共同创建专业评估基准,并为更广泛的研究社区做出贡献。
你将负责:
- 为Pinterest的VLM设计新的模型架构。我们希望你有实际操作开源LLM模型微调的经验,并能改进它们
查看英文原文
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.
Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.
What you’ll do:
- Prototype new model architectures for Pinterest VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
- Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
- Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
- Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
- Publish and publicize your work via conferences, paper submissions, blog posts, etc.
What we’re looking for:
- Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
- 2+ years of industry computer vision experience.
- M.S. or PhD in Machine Learning, Computer Science, or related areas.
Nice to Have:
- Publications at top ML conferences.
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$138,905—$285,982 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.