Remote Staff AI Governance & Programs Jobs

Requirements

• Own the product strategy and roadmap for Supply Chain Risk & AI Governance
• Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps
• Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact
• Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and measurable customer value
• Partner with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 10+ years of Machine Learning experience with a focus on Deep Neural Network activities, evaluating model performance & trust.
• 1-2+ years’ experience focused on post-training activities
• 1+ year experience creating benchmarks to evaluate LLMs
• Deep expertise in LLM-as-judge architectures, multi-turn conversation and Graph RAG reasoning
• Ability to design and execute rigorous scoring pipelines and empirical threshold calibrations for agentic systems
• Ability to establish domain-specific evaluation frameworks that measure whether a system can perform the work of human experts rather than just passing general capability benchmarks

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 8+ years of hands-on software engineering experience
• Strong proficiency in the Python ecosystem
• Customer Obsession & Product Thinking
• Demonstrated experience leading technical partnerships with Data Scientists or Researchers
• Strong expertise in API Design & Platform Infrastructure
• Operational excellence background
• Bachelors in Computer Science or related field, Masters preferred

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• 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 to ensure compliance of AI systems with ethical standards and regulatory requirements
• Develop an advanced Responsible AI platform utilizing the latest Generative AI technology
• Investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Conduct independent, hands-on research into the state-of-the-art in differential privacy, secure computation, and privacy-preserving machine learning.
• Evaluate, adapt, and implement advanced algorithmic approaches to optimize for data utility and privacy guarantees in production environments.
• Establish and manage rigorous evaluation frameworks to quantify the fidelity, utility, and privacy guarantees of generated and anonymized data.
• Partner with cross-functional teams of data scientists, software engineers, product managers, and governance specialists to ensure the seamless integration and adoption of new privacy capabilities across the enterprise.
• Develop privacy-first training algorithms and techniques
• Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at enterprise scale.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Developing an Assessment Methodology and Strategy
• Designing an Evaluation Framework
• Identifying Systemic Risks
• Designing Risk Evaluation Protocols
• Providing Strategic Technical Guidance
• Integrating Advanced Evaluation Techniques
• Creating a scalable evaluation infrastructure
• Ensuring engineering excellence and technical guidance

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• PhD or equivalent experience in Computer Science or related technical field
• Demonstrated expertise in ML research and/or ML production deployment lifecycle
• Deep understanding of LLM
• Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
• Ability to formulate a research problem, design, experiment, implement and communicate solutions

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Stock Options

Skills

Requirements

• Bachelor's degree or equivalent practical experience
• 7 years of experience in data analysis
• 7 years of experience managing projects
• 5 years of experience managing teams
• Master’s or Ph.D. degree in a quantitative discipline
• Experience with prompt engineering and fine-tuning Large Language Model (LLMs)
• Excellent written, verbal, and presentation skills
• Excellent problem-solving and critical thinking skills

Benefits

• 401k Matching
• Certification Support
• Childcare Support
• Commuter Benefits
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance

Skills