About The CompanyPlaid is a leading technology company dedicated to building the infrastructure that enables consumers to connect their financial accounts securely and seamlessly. With a mission to democratize financial services, Plaid provides developers and financial institutions with innovative APIs that facilitate the integration of banking, payments, and financial data. The company is committed to fostering a diverse and inclusive environment, driving innovation, and delivering solutions that empower users worldwide. Recognized for its impact on the fintech ecosystem, Plaid continues to grow rapidly, expanding its services and capabilities to meet the evolving needs of the financial industry.
About The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to join our Fraud Data team at Plaid. In this pivotal role, you will be responsible for designing and developing scalable machine learning infrastructure that underpins our industry-leading fraud detection products. You will lead initiatives to enhance model deployment, monitoring, and observability frameworks, ensuring the robustness and reliability of our fraud prevention systems. Collaborating closely with ML Infrastructure, Product, and Engineering teams, you will play a key role in shaping the technical vision and long-term strategy of the Fraud Data organization. This position offers an exciting opportunity to work on complex, high-impact problems in a remote setting, contributing to the safety and security of millions of users worldwide.
Qualifications- 8+ years of total professional experience in software engineering or data science.
- At least 5 years of experience building and deploying production machine learning systems.
- Proven expertise in machine learning infrastructure and operations.
- Proficiency in Python, PyTorch, Spark, SageMaker, Airflow, or equivalent technologies.
- Experience in fraud detection, risk modeling, or financial security domains.
- Strong understanding of scalable system design and data pipeline architecture.
- Excellent collaboration and communication skills, with the ability to mentor junior engineers.
- Background in graph machine learning or related advanced techniques is a plus.
Responsibilities- Design and develop scalable machine learning infrastructure to support Plaids fraud detection systems.
- Lead the evolution and enhancement of model deployment, monitoring, and observability frameworks.
- Collaborate with cross-functional teams including ML Infrastructure, Product, and Engineering to deliver high-quality solutions.
- Mentor and guide engineering teams, fostering a culture of innovation and continuous improvement.
- Contribute to defining the technical strategy and long-term vision for the Fraud Data team.
- Ensure the robustness, reliability, and security of fraud detection models and systems.
- Stay updated with the latest advancements in machine learning and fraud detection techniques.
Benefits- Competitive base salary ranging from $192,000 to $400,000, depending on location and experience.
- Flexible remote work environment, open to candidates worldwide.
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off and holidays to support work-life balance.
- Opportunities for professional development and continuous learning.
- Inclusive and diverse workplace culture that values innovation and collaboration.
- Equity options and performance-based bonuses.
Equal OpportunityPlaid is an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion, sex, sexual orientation, gender identity, age, military or veteran status, disability, or other legally protected characteristics. We are committed to creating an inclusive environment and providing reasonable accommodations for candidates with disabilities throughout the recruitment process.
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