Senior Platform Engineer, Machine Learning
Fieldguide$188,000 - $213,500/year
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial TechnologyIndustries
Requirements
Candidates should possess 8+ years of experience in software engineering or data science roles, with at least 2+ years in technical leadership or management, and 3+ years experience 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 is required, along with experience in eCommerce, financial services, or related industries as a bonus.
Responsibilities
The Engineering Manager, ML Platform will drive a culture of reliability and innovation in ML systems development, lead the team to develop next generation feature development systems, establish and manage reliability and data quality standards, advocate for architectural best practices, and partner with cross-functional teams to define roadmaps and deliver high-priority projects while mentoring and growing a high-performing team of engineers and fostering an inclusive culture of innovation.
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