Staff Machine Learning Engineer, Responsible AI Engineering
Responsibilities
- Design, develop, and maintain scalable and reliable AI governance services.
- Apply robust architectural principles to create an effective and efficient solution.
- Work closely with interdisciplinary teams, including data scientists, product managers, and legal experts, to ensure compliance of AI systems with ethical standards and regulatory requirements.
- Be instrumental in developing an advanced Responsible AI platform utilizing the latest Generative AI technology.
- Address the evolving challenges in AI governance, ensuring the creation of responsible and trustworthy AI solutions.
- Investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa.
Qualifications
- Basic Qualifications: 5 or more years of relevant work experience with a Bachelors 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 Bachelors 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 MS or Ph.D. degree in Computer Science, Engineering, or related field. 8+ years’ work experience in the software technology industry.
- Hands on with Python or React.js skills, capable of reviewing auto generated code for potential issues.
- Experience using code generators to create full stack applications.
- Handled containers and orchestration with Dockers and Kubernetes.
- Experience working in an agile environment. Evaluated software, wrote proof of concepts, and designed new systems.
- Strong understanding of agentic frameworks.
- Experience with Gen AI models and developing applications that leverage their capabilities.
- Handled AI Governance issues - Bias, Drift, Risk, Privacy and Security.
- Published your work and delivered presentations on Gen AI topics to larger audiences.
Benefits
The estimated salary range for this position is $169,100.00 to $ 270,800.00 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.
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.