• Define and lead the organisation’s AI and Machine Learning strategy, aligning initiatives with business and product objectives. • Oversee the research, development, testing, and deployment of AI and ML solutions. • Identify opportunities to leverage Generative AI, Machine Learning, and intelligent automation across products, workflows, and operational processes. • Gather AI-related requirements, ideas, and challenges from stakeholders and translate them into actionable initiatives and delivery plans. • Lead the execution of approved AI projects, proofs of concept, prototypes, and production implementations. • Evaluate emerging AI models, frameworks, and technologies, recommending appropriate solutions based on business needs and technical requirements. • Explore, develop, and prototype custom and locally hosted AI models trained on proprietary datasets. • Establish best practices, governance frameworks, and standards for AI development and deployment. • Define guidelines for agentic AI systems and autonomous workflows. • Partner closely with engineering, product, design, and leadership teams to ensure successful adoption of AI capabilities. • Provide technical leadership and mentorship to engineers and AI practitioners. • Educate stakeholders on AI capabilities, limitations, risks, and practical applications. • Stay current with industry trends, research advancements, and emerging technologies within the AI and Machine Learning landscape. • Communicate complex AI concepts and technical decisions clearly to both technical and non-technical audiences.

• Ready to do the most impactful work of your career at Coinbase • Build the future of finance alongside people who refuse to settle for 'good enough'

Role Description This position is responsible for managing the essential tasks for the Learning & Performance department of MidFirst Bank. The ideal candidate should excel in multi-tasking, possess strong communication skills, prioritize customer service, and demonstrate a commitment to excellence. - Facilitate the enrollment process for new hires, professional development, annual training, and any other required training - Oversee the team mailbox to ensure adherence to SLAs and timely filing of emails - Update shared calendars and learning management system with classroom schedule changes to reflect the new schedule - Arrange hotel accommodations for employees who are travelling to the training center - Communicate reminders for classroom training attendance - Process professional development certification completions for bonus payouts - Curate course content and learning assets Qualifications - High School diploma - Proficiency in Microsoft Office tools - Strong prioritization and task management skills - Cross-functional team collaboration - Experience working in virtual teams and remote environments - Excellent communication skills (both written and verbal) - Previous experience working within a training environment

• Architect the ranking backbone that unifies query understanding, personalization, multi-objective ranking, ads, and merchandising into a single adaptive platform. • Design and build a search autosuggest system optimized for personalization and value-based relevance. • Design long-horizon objective functions (e.g., incrementality, LTV, habit formation) and build uplift/causal value models that move beyond short-term engagement. • Develop production-grade Multi-Task Learning (e.g., shared encoders, MMOE/PLE task heads) to jointly learn relevance, propensity, margin, and churn risk—ensuring calibration, constraints, and explainability. • Own the inference layer: goal-aware re-rankers, diversity and quality constraints, safe exploration, and millisecond-class latency optimization. • Advance evaluation practices: online experiments, long-horizon cohort metrics, counterfactual evaluations, and attribution pipelines for tracking incremental GTV and retention. • Partner across ads, infrastructure, product, and design teams to translate business goals into ranking policies and measurable ROI. • Mentor ML engineers to build expertise in ranking, causal inference, and scalable serving systems.