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Come join as a Senior Staff Machine Learning Engineer (MLE).
Senior Staff MLEs deliver end-to-end AI solutions that span multiple domains and products, influencing the strategic direction of machine learning and AI across the company. You will identify cross-cutting opportunities, set technical direction for complex systems, and deliver scalable, responsible AI-driven experiences that unlock customer and business value at scale.
In this role, youll be expected to define and evolve ML architecture, guide multiple teams, and drive execution excellence across the full ML lifecycle-from experimentation to production. Youll partner closely with AI scientists, product engineers, and business leaders to solve high-impact problems and pioneer new capabilities that advance AI-native platform.

As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities:
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks

We are looking for a strong hands-on Engineering Manager to lead the AI Productization team. You will lead a team that creates innovative products and platforms, ensuring AI capabilities are delivered to our customers at scale. You will act as a technical leader, mentoring engineers and applying technical expertise to challenging programming and design problems.
Respnsibilities:
Strategic Leadership: Collaborate closely with other teams to lead the strategy as well as drive the execution and bring it to life. Create a shared vision and build/maintain strong cross-functional relationships with partners across the business.
AI Delivery: Lead the delivery of backend as well as front end experiences, powered by state of the art AI technologies.
Build High Performing Teams: Bring out the best ideas from the best engineers by empowering them and leading by example. Build high-performing teams by putting the right people in the right job at the right time.
Hands-on Leadership: Participate in code reviews, design discussions, and hands-on coding to ensure the team delivers high-quality software.
Operational Excellence: Drive results by thinking strategically and ensuring the team follows Agile development methodologies.

Come join the team as a StaffBackend Engineer. We are a customer-obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities:
You will seek to improve performance by refactoring existing services and flows
You will mentor more junior team members and help them learn and progress professionally.
You will collaborate with various stakeholders - product management, analysts, data engineers, customer success, and more.
You will contribute by owning the designing and implementing new features and enhancements and represent the team in the technical aspect during discussions and architecture roundtables
You will be hands-on, 70 - 80% coding
You will serve as the immediate go-to person within the team for any tech-related issue or discussion
Youll be a good listener, while also having strong opinions on what is right
Youll be fun to be around and work with

We are seeking a highly skilled Staff Fullstack Engineer to join our team. The ideal candidate will have a passion for developing high-quality, innovative software solutions and a strong familiarity with GenAI.
Responsibilities:
Frontend & Backend Depth: Design and implement scalable, modular, and secure services while creating integration-centric solutions using modern API technologies. Manage the full cycle of web service creation and consumption with ReST or GraphQL API modeling.
Full Stack Development: Design and develop web, software, prototypes, or proofs of concepts (POCs). Hands-on coding across the stack.
AI Integration: Designing systems with multi-step reasoning, using tool use and API orchestration to productize AI capabilities.
Cross-Functional Delivery: Work cross-functionally with various teams including product management and business units to drive forward results. Contribute to the design and architecture of the project.
Experience with Agile Development, SCRUM, or Extreme Programming methodologies.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems - designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities:
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

Join AI Productization team as a Senior Product Designer.
You will apply strategic thinking to design and deliver innovative end-to-end user experiences specifically for transformative AI products.
Responsibilities:
AI Experience Design: Translate complex AI system capabilities into designs that illustrate simplicity. Visualize ideas effectively and compellingly for internal leaders and partners.
Deliverables: Directly responsible for delivering User Experience visions, UI specifications, wireframes, and prototypes for AI-driven interfaces.
Collaboration: Collaborate effectively with researchers, product management, and development to ensure AI products meet user needs.
Mentorship: Participate in the Experience Design Community and mentor junior members of the design team.

Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities:
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 5-10 years.
Responsibilities:
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where Fintech products should go over the next 5-10 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Come join the Data Exchange group as a Software Engineer.
You will be developing high volume tools and services that are part of Data Acquisition Platform. Our Backend teams are responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all products. You will utilize your skills to help develop and maintain critical backend systems in cloud environments that are vastly used by both internal and external customers.
Responsibilities:
Identify, design and build tools that are focused on tooling work and observability work, ensuring high availability, scalability, and performance of our production systems.
Ensure the highest standards for engineering design, implementation and testing
Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for
Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders
Be the first level of support and handle incidents, production issues, and alerts.
Investigate production issues and provide valuable insights to the core teams.
Passionate for continuous learning, experimenting and applying cutting edge technology and software paradigms
Pursue and resolve complex or unchartered technical problems and share key learnings
Provide technical leadership and be a role model to software engineers pursuing technical career path in engineering
Stay aware of industry trends and make technology choices and strategic decisions
Mentor engineers on technology, process, people, and product skills

Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities:
Create Front End solutions to deliver exceptional customer experiences.
Translate customer insights into mockups, wireframes, and proof-of-concept code
Lead a small team to solve complex programming and design issues
Contribute to project design and architecture and execute on web, mobile, and front end software development
Provides technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/ features, ultimately ensuring that high-quality solutions are delivered
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics