Principal Machine Learning Architect

March 21

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Sift

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Sift is an industry leader in digital fraud management, offering robust AI-powered solutions to combat various forms of online fraud such as account takeovers, payment fraud, and chargebacks. With a scalable platform, Sift enables businesses to secure their operations through advanced decision-making and fraud detection technologies. Their platform is trusted by over 700 global brands, providing precise, user-level insights to turn fraud challenges into opportunities for scalable growth. Sift emphasizes the importance of partnerships and a strong community to enhance their fraud decisioning service, fostering secure business development across various sectors like e-commerce, fintech, and travel. Additionally, Sift is recognized for its insights and efforts in fraud industry leadership, featuring capabilities such as payment protection, account defense, and dispute management.

Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data

201 - 500 employees

Founded 2011

🔒 Cybersecurity

💳 Fintech

☁️ SaaS

📋 Description

• We are seeking a highly skilled and experienced Machine Learning Architect to lead the design, implementation, and continual evolution of large-scale, production-grade ML systems. • This role requires a technical leader who will take an active role in defining and leading our teams towards our vision. • You will work cross-functionally with engineering, data science, product, and leadership teams to align our ML architecture with business goals and emerging industry best practices.

🎯 Requirements

• Proven experience building large-scale ML systems in production environments. • Familiarity with tools like Flink, Spark, PyTorch, TensorFlow, or similar frameworks. • Proficiency in not only Python, but also Java, C++, or similar languages. • Knowledge of industry best practices for deploying, maintaining, and scaling ML systems in production. • Experience in high-impact areas such as ad-tech, recommendation systems, personalization, search ranking, or gaming. • Strong understanding of modern ML engineering trends and challenges, including but not limited to model monitoring, drift detection, and retraining strategies. • Knowledge of GenAI, including LLMs, as well as the trends and challenges of building GenAI applications. • Ability to align and lead cross-functional teams on large-scale architectural initiatives. Able to partner, energize and inspire within and across the organization. • Demonstrated success in working with diverse stakeholders and fostering alignment around technical and business objectives. • Ability to provide guidance or mentor junior engineers. • Strong critical thinking and ability to approach ambiguous problems systematically. • Curiosity and openness to understand the business impact of technical decisions. • Excellent communication and storytelling skills to articulate architectural vision and influence stakeholders at all levels. • Ability to engage in constructive technical discussions and drive consensus. • Ability to evangelize our data and AI externally, such as with customers, partners, and in the industry.