Signifyd

Engineering Manager, ML Platform

United States

Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial TechnologyIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: $200,000 - $230,000 USD (Base Salary Pay Range)

Are you ready to lead a high-impact team empowering next generation machine learning infrastructure? At Signifyd, we’re looking for an Engineering Manager to join our ML Platform team. In this role, you will have the opportunity to shape the future of how machine learning models are trained and deployed, to develop next generation feature engineering, and to collaborate with data science on bringing state of the art techniques into production, all in a scalable, cost efficient manner. If you are passionate about driving excellence in applying machine learning at scale, and passionate about making the world a safer place to do business, this is your opportunity to make a difference.

Responsibilities

  • Drive a culture of reliability and innovation in ML systems development
  • Lead the team to develop the next generation feature development systems to power low-latency ML applications in a cost effective and developer friendly manner, leveraging technologies like feature stores and real-time data pipelines
  • Establish, measure, and manage reliability and data quality standards of mission critical ML systems
  • Advocate for architectural best practices in cloud platform development across the organization
  • Partner with cross-functional teams in product, data science, and across engineering to define roadmaps and deliver high-priority projects
  • Mentor and grow a high-performing team of engineers while fostering an inclusive culture of innovation

Requirements

  • 8+ years of experience in software engineering or data science roles, with 2+ years in technical leadership or management
  • 3+ years experience in delivering ML applications solving real world problems
  • Strong knowledge of software development best practices, cloud computing platforms, big data technologies, MLOps toolkits, and SLO-driven reliability management
  • Proven ability to build and lead distributed teams across geographies while fostering collaboration and innovation
  • Experience in eCommerce, financial services, or related industries is a bonus
  • Excellent communication skills with a track record of mentoring engineers
  • Commitment to promoting diversity and creating an inclusive and safe work environment

Company Information & Benefits

Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Benefits in our US offices include:

  • 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

Application Instructions

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

Skills

Machine Learning
ML Systems Development
Feature Stores
Real-time Data Pipelines
Cloud Computing
Big Data Technologies
MLOps
Software Development Best Practices
Data Science
Reliability and Data Quality Standards
Architectural Best Practices
Leadership
Team Mentoring

Signifyd

Fraud protection for online retailers

About Signifyd

Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.

Palo Alto, CaliforniaHeadquarters
2011Year Founded
$399.8MTotal Funding
SERIES_ECompany Stage
Cybersecurity, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Flexible Spending Account/Flexible Spending Account
Unlimited Paid Time Off
401(k) Company Match
Stock Options
Annual Performance Bonus
Paid Parental Leave
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Company Social Events

Risks

Rise of 'friendly fraud' challenges Signifyd's financial guarantee model.
'Buy now, pay later' services introduce new fraud types that may evade current detection.
Flexible return policies in Europe could increase return fraud, straining existing strategies.

Differentiation

Signifyd offers a financial guarantee on approved transactions, covering potential fraud costs.
The company uses advanced AI and machine learning for real-time fraud detection.
Signifyd's global reach allows it to serve a diverse range of e-commerce clients.

Upsides

Partnership with Adobe Commerce enhances transaction intelligence and fraud protection capabilities.
$100 million Series D funding supports European market expansion and operational scaling.
Integration with Celerant shifts liability, attracting retailers seeking comprehensive fraud solutions.

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