机器学习工程师
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Machine Learning EngineerStripe · South San Francisco, CA · $212k – $318k
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为什么值得关注？
发现指数 57/100，仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
分数构成
- 时效性 （随职位发布时间变化）+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+1
- 公司来源健康度+8
该职位未包含：远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。
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职位描述
机器翻译我们是谁
关于 Stripe
Stripe, LLC. 是一家为企业提供金融基础设施的平台。数百万家公司——从全球最大的企业到最有抱负的初创公司——都在使用 Stripe 来接受付款、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP，而我们面前还有大量工作要做。这意味着，您将拥有前所未有的机会，在从事职业生涯中最重要工作的同时，让全球经济触手可及。
您将做什么
职责
• 基于 ML 原则、领域知识、风险、监管和工程约束，为 Stripe Capital 的承保和投资组合管理设计最先进的 ML 模型和大规模 ML 系统。
• 设计系统，以缩短从想法到新模型部署的时间。
• 使用包括 PyTorch 和 TensorFlow 在内的工具，对 ML 模型进行实验和迭代，以实现关键业务目标并提升效率。
• 开发管道和自动化流程，以在离线和在线环境中训练和评估模型。
• 集成 ML
岗位职责
• 基于 ML 原则、领域知识、风险、监管和工程约束，为 Stripe Capital 的承保和投资组合管理设计最先进的 ML 模型和大规模 ML 系统。
• 设计系统，以缩短从想法到新模型部署的时间。
• 使用包括 PyTorch 和 TensorFlow 在内的工具，对 ML 模型进行实验和迭代，以实现关键业务目标并提升效率。
• 开发管道和自动化流程，以在离线和在线环境中训练和评估模型。
• 将 ML 模型集成到生产系统中，并确保其可扩展性和可靠性。
• 与产品和战略合作伙伴协作，提出、优先排序并实施新产品功能。
• 关注 ML/AI 的最新发展，并在将创新 ML 想法转化为可投产解决方案时承担经过计算的风险。
任职要求
最低要求
必须拥有计算机科学、机器学习、数学、物理学、统计学或相关领域的学士学位或同等海外学历，并具备两 (2) 年构建和交付生产环境 ML 系统的经验。
• ML 算法和模型架构；
• 设计、训练和评估机器学习模型；
• 将机器学习模型大规模投产和部署；
• 编排数据管道并利用大规模数据集；以及
• 构建和部署 ML 模型以解决业务问题。
• ML 库和框架，包括 PyTorch、TensorFlow、XGBoost 或 Spark；以及
• 深度学习，包括 transformers、test-time compute 或 reinforcement learning。
薪资
该薪资范围代表该职位的 base salary 范围，任何销售佣金/销售奖金目标（如适用）都将在 base salary 之外另行计算。
每周 40 小时
允许 50% 远程办公。
多个职位空缺。
该职位的额外福利可能包括：股权、公司奖金或销售佣金/奖金；401(k) 计划；医疗、牙科和视力福利；以及健康津贴。CA29
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以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
Who we are
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
• Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.
• Design systems to speed up the time from idea to deployment of new models.
• Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency.
• Develop pipelines and automated processes to train and evaluate models in offline and online environments.
• Integrate ML
岗位职责
• Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.
• Design systems to speed up the time from idea to deployment of new models.
• Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency.
• Develop pipelines and automated processes to train and evaluate models in offline and online environments.
• Integrate ML models into production systems and ensure their scalability and reliability.
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features.
• Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.
任职要求
Minimum requirements
Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production.
• ML algorithms and model architectures;
• Designing, training and evaluating machine learning models;
• Productionizing and deploying machine learning models at scale;
• Orchestrating data pipelines and leveraging large-scale datasets; and
• Building and deploying ML models to solve business problems.
• ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and
• Deep learning, including transformers, test-time compute, or reinforcement learning.
薪资
This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
50% Telecommuting Permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA29
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