Staff Machine Learning Engineer- Emerging Tech Team

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

VISA is the leader in the payment industry and has been for a long time, but we are also quickly transitioning into a technology company that is fostering an environment for applying the newest technology to tackle exciting problems in this area. For a payment system to work well, the risk techniques, performance, and scalability are essential. These techniques and systems benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies. At VISA, we have all of these. If you want to be on the cutting edge of the payment space, learn fast, and make a huge impact, then the Artificial Intelligence Platform team may be an ideal place for you!

Our team needs a Staff Machine Learning Engineer with proven knowledge of web application and web service development who will focus on crafting new capabilities for the AI Platform while maturing our code base and development processes. You are a dedicated developer who can work and collaborate in a multifaceted environment as a valued member of our Agile Scrum teams. You should have strong problem-solving abilities and be passionate about coding, testing and debugging skills. You know how to fill product backlog and deliver production-ready code. You must be willing to go beyond the routine and be prepared to do a little bit of everything.

As an integral part of the development team, you will sometimes explore new requirements and design, and at times refactor existing functionality for performance and maintainability. But the goal is always working on ways to make us more efficient and provide better solutions to our end customers. Flexibility and willingness to tackle new tasks as needed are significant to success. If this sounds exciting to you, we would love to discuss and tell you more about our work!

Essential Functions

• Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.

• Drive development effort End-to-End for timely delivery of high quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. Responsibilities span all phases of solution development.

• Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.

• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a detailed and timely manner.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:
• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:
• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Hands-on experience in at least one of the following: Golang, Java, or C/C++
• Experience with web service standards and related patterns (REST, gRPC)
• Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low latency, & strong data consistency computing
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 130,100.00 to 169,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.