• Designing and implementing AI agents with reasoning pipelines • Integrating AI capabilities such as LLM-powered services • Contributing to scalable architectures for data- and event-driven systems • Improving, refactoring, and maintaining existing code bases • Collaborating with the Team Lead and Product Owner • Participating in code reviews, architecture discussions

• Design and implement robust data infrastructure in AWS, using Spark with Scala • Evolve our core data pipelines to efficiently scale for our massive growth • Store data in optimal engines and formats, matching your designs to our performance needs and cost factors • Collaborate with our cross-functional teams to design data solutions that meet business needs • Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs • Leverage and optimize AWS resources while designing for scale • Collaborate closely with our Data Science and Product teams

Role Description Our client, a growing educational and professional development organization, is seeking an experienced Corporate Training Instructor to teach and mentor students on how to become effective corporate trainers, facilitators, and workplace learning professionals. This role is ideal for an experienced trainer or learning and development professional who is passionate about teaching others how to design, deliver, and facilitate impactful corporate training sessions within professional environments. - Deliver engaging training sessions on corporate training principles, facilitation techniques, and instructional delivery methods. - Teach students how to design, structure, and deliver effective corporate training programs. - Guide students on presentation skills, public speaking, audience engagement, and classroom management techniques. - Train students on adult learning principles, learning styles, and professional training methodologies. - Share practical experiences, case studies, and best practices from corporate training environments. - Develop instructional materials, presentations, training exercises, and facilitation activities. - Conduct mock training sessions, role plays, and practical teaching demonstrations for students. - Mentor students on building confidence, professionalism, and effective communication as trainers. - Teach students how to assess learning outcomes and evaluate training effectiveness. - Stay updated on corporate learning trends, facilitation strategies, and workplace training practices. Qualifications - Bachelor’s degree in Human Resource Management, Education, Business Administration, Communication, Learning & Development, or related field preferred. - Minimum of 4–5 years of practical experience in corporate training, facilitation, learning and development, or instructional delivery. - Strong understanding of adult learning principles and corporate training methodologies. - Proven experience delivering workshops, seminars, or professional training sessions. - Excellent presentation, facilitation, and communication skills. - Ability to teach and mentor students effectively in both virtual and in-person environments. - Strong leadership, coaching, and interpersonal skills. - Proficiency in Microsoft Office Suite, Google Workspace, and virtual training platforms. - Passion for teaching and developing future trainers and facilitators. - Must be legally authorized to work in the USA or Canada. Preferred Qualifications - Professional certifications in training, facilitation, coaching, HR, or learning and development are an advantage. - Experience mentoring aspiring trainers, educators, or facilitators. - Familiarity with instructional design and training evaluation techniques. - Experience facilitating virtual training sessions and interactive workshops. Requirements - Part time. - Pay depends on experience.

• Work with large scale structured and unstructured data, build and continuously improve novel ML systems, product integrations, and performance optimizations for Airbnb product, business and operational use cases. • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact. • Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks. • Hands-on productionize, and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases. • Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization