高级机器学习工程师
Senior Machine Learning Engineer
在 Signifyd，我们通过与客户建立信任关系，帮助商家自信地拓展业务。我们的先进技术，加上团队对客户成功的真诚投入，创造了无缝的购物体验，批准更多优质订单，保护收入，并让客户满意。
我们被全球100多个国家的数千家领先商家所信赖，每年安全处理数十亿笔交易。我们的员工是公司一切行动的核心，以承诺、同理心和创造力推动我们的使命前进。加入我们，共同实现赋能自信、无欺诈的商业，帮助在线零售商提供卓越的客户体验并消除欺诈。了解我们的公司价值观 [这里](https://www.signifyd.com/about/#values)！
**高级机器学习工程师** 将加入我们的机器学习团队。该团队负责构建、维护和监控生产环境中的机器学习模型以及离线实验框架，这些是 Signifyd 产品核心的一部分。这包括决定我们大部分流量的核心欺诈检测模型，以及我们的模型训练和评估基础设施。我们与平台工程团队紧密合作，贡献新颖的建模方法、先进的特征工程和稳健的统计实践。
#### **我们的文化**
我们重视坚韧、好奇心和持续学习的热情。我们的对手是高度有动机的欺诈者，他们试图利用任何漏洞。我们寻找同样有动力的个人，他们热衷于在保护客户安全的同时推动对抗性机器学习领域的发展。
#### **职位职责**
作为 **高级机器学习工程师**，你将在机器学习团队中担任技术执行的驱动者。你不仅仅是构建模型——你将负责高影响力机器学习项目的端到端生命周期，从离线实验到部署到生产环境。你将负责提升模型性能，优化我们的实验流程，并确保我们的欺诈检测系统具备鲁棒性、可扩展性和科学严谨性。
**职责：**
- **扩展机器学习能力** – 识别、原型设计并集成新的机器学习技术和基础设施，以提高欺诈检测的有效性和可扩展性。
- **支持高速实验** – 负责设计和实现加速创新的机器学习管道组件
- **跨职能协作** – 与产品团队合作
查看英文原文
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values [here](https://www.signifyd.com/about/#values)!
The **Senior Machine Learning Engineer** will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices.
#### **Our Culture**
We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward.
#### **The Role**
As a **Senior Machine Learning Engineer**, you will be a driver of technical execution within the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.
**Responsibilities:**
- **Expand ML Capabilities** – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
- **Enable High-Velocity Experimentation** – Own the design and implementation of ML pipeline components that accelerate our innovation
- **Collaborate Across Functions** – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
- **Raise the Bar** – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.
**Requirements:**
- **Education:** A degree in Computer Science, Statistics, or a comparable quantitative field.
- **Experience:** **4-6+ years** of post-undergrad work experience in a production-grade ML environment.
- **Technical Depth:** Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale.
- **Execution Focus:** Proven track record of taking ML projects from research/prototype to high-scale production environments.
- **Communication:** Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders.
- **Tech Stack:** Proficiency in Python **,** SQL, key ML libraries, and Spark
- **Mindset:** A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create.
- **Attention to detail** is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'
**Nice to have:**
- Previous experience in fraud, fintech, payments, or e-commerce.
- Passion for writing well-tested production-grade code
- A Master’s Degree or PhD.
#### **Why Join Us?**
- **Make an Impact** – Your work will directly shape the future of fraud prevention, protecting billions of payments.
- **Lead & Grow** – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.
- **Innovate at Scale** – Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible.
- **Collaborative Culture** – Join a team that values curiosity, ownership, and continuous learning.
#LI-Remote
**Benefits in our US offices:**
- Discretionary Time Off Policy (Unlimited!)
- 401K Match
- Stock Options
- Annual Performance Bonus or Commissions
- Paid Parental Leave (12 weeks)
- On-Demand Therapy for all employees & their dependents
- Dedicated learning budget through Learnerbly
- Health Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Account (FSA)
- Short Term and Long Term Disability Insurance
- Life Insurance
- Company Social Events
- Signifyd Swag
**Compensation:**
_In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions._
**Base Salary Ranges by Pay Zone:**
- Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually
- Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually
- Tier 3 (US - All Other): $140,000 - $170,000 annually
##### **Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines.**
**Bonus:** This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[Signifyd's Applicant Privacy Notice](https://drive.google.com/file/d/1HSnMY6HGjB1FNRX4Ez9bUre5mrPPcHIq/view?usp=sharing)