Senior Machine Learning Engineer I // II

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Signifyd·USA·28 авг.

Senior Machine Learning Engineer I // II

от 15 833 $

на 278% выше медианы рынка

≈ от 1,4 млн ₽

🌍 УдалённоSeniorПолная занятость🌐 Глобал

Навык востребован (python).

Нажмите на сигнал, чтобы увидеть, на чём он основан

Чем предстоит заниматься

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

Наши требования

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'

Previous experience in fraud, fintech, payments, or e-commerce

Passion for writing well-tested production-grade code

A Master’s Degree or PhD

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

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

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

Дополнительно

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

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

Технологии и навыки

Signifyd

USA

ГрейдSenior

ЗанятостьПолная занятость

РегионСША

ФорматУдалённо

ИсточникСкрыто

Опубликовано28 авг.

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Senior Machine Learning Engineer I // II

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