高级机器学习工程师
Senior Machine Learning Engineer
#### **SeatGeek 认为现场活动是能够团结人类的强大力量。凭借我们的技术敏锐度和以粉丝为中心的态度，我们正在简化并现代化票务行业。**
SeatGeek 是一家致力于颠覆 3000 亿美元票务行业的科技创新者。我们拥有产品、愿景和团队，能够在改善表演者、场馆和粉丝生活的同时，打造一代消费品牌。我们缺少的只是你。
你将加入一个连接研究与生产就绪机器学习系统的团队。你的工作将直接影响数百万粉丝如何发现和购买门票，如何优化定价和库存，如何个性化 SeatGeek 的体验，以及如何在我们的市场中防止欺诈。你将设计和构建可扩展的机器学习基础设施和服务，将复杂的算法转化为可靠、快速且易于维护的系统，从而推动业务价值。
#### **你将负责**
- 设计、构建和部署可在生产环境中可靠运行的机器学习模型和系统
- 构建和维护机器学习基础设施，包括特征存储、模型服务框架和实时推理流水线
- 加入产品工程团队，与数据科学家、产品经理和软件工程师紧密合作，将研究和实验模型转化为生产就绪系统
- 解决票务行业特有的复杂技术挑战，包括实时定价优化、需求预测和欺诈检测
- 使用 MLOps 最佳实践开发自动化机器学习流水线，用于训练、验证、部署和监控
- 跨团队和专业领域工作，推广机器学习能力，并将其融入 SeatGeek 的核心产品中
#### **你具备**
- 在生产环境中构建和部署机器学习系统的经验。我们希望听到你构建过的系统、所处理的规模以及你带来的业务影响
- 4 年以上软件工程经验，其中至少 2 年专注于机器学习系统和 MLOps
- 精通 Python 编程，有使用 scikit-learn、TensorFlow、PyTorch 或类似 ML 框架的经验
- 有云平台和容器化技术的经验
- 理解批处理和实时机器学习系统，包括模型服务、A/B 测试和性能监控的经验
- 对机器学习充满热情
查看英文原文
#### **SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.**
SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.
You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value.
#### **What you'll do**
- Design, build, and deploy machine learning models and systems that operate reliably at scale in production
- Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines
- Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems
- Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection
- Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices
- Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings
#### **What you have**
- Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven
- 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps
- Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar
- Experience with cloud platforms and containerization technologies
- Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring
- Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard
- A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick
- Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
#### **Our stack**
You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.
- **Languages + Frameworks:** Python + FastAPI, Go, C# + .NET Core
- **Datastores:** Postgres, MemcachedRedis, Elasticsearch
- **Cloud:** AWS (SageMaker, Redshift, ECS), Airflow for orchestration
- **Version control:** Gitlab
- **AI Tooling: Cursor, Github Copliot, Claude Code**
- **Observability:** Datadog
#### **Perks**
- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $360 per quarter to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
* * *
_The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location._
_SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!_
To review our candidate privacy notice, [click here](https://seatgeek.com/privacy/USApplicantNotice).
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