Associate Director AI Science

Associate Director AI Science

Requirements

• Bachelor’s degree or four or more years of work experience.
• Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.

Responsibilities

• Leading in developing the next generation of AI that protects the privacy of our customers and ensures that our modeling practices are ethical and bias free.
• Developing testing and validation rigor for all new and next generation AI methods.
• Collaborating with data scientist teams and senior leaders to ensure model testing and validation discipline is followed for all models including models deployed in production.
• Building a high performing team of data scientists that is highly engaged, operates with high degree to autonomy, accountability and a sense to urgency in delivering on business outcomes.
• Building a diverse team with an inclusive culture.
• Attracting and retain top talent with deep technical expertise to Verizon.
• Enabling career development via access to training resources, on the job coaching and mentoring.
• Helping create an environment where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like open source, publications, etc.
• Operating as an expert and thought leader both within Verizon and externally within industry.
• Serving as trusted advisor to all stakeholders at Verizon.
• Coaching and mentor our high potential talent.
• Partnering with academia and startup ecosystem to identify and potentially bring in new AI approach that can be of value to Verizon.
• Staying informed on the latest advancements in AI and technology space, finding ways to deliver value by applying and customizing these to our specific problem space.
• Inspiring our team to create AI applications designed with bias considerations and that promotes ethical AI both within Verizon and externally with Verizon’s partners.
• Establishing best practices and governance routines to ensure adherence to model management policies, peer reviews, and compliance to our policy standards for privacy, ethics, and bias.

Preferred Qualifications

• 5+ years of direct experience with leading models research and validation with a focus on topics like bias and ethical AI, at least 2 years in a manager capacity managing research oriented talent.
• In-depth working experience in Deep Learning Framework (e.g. Pytorch), Generative AI (e.g. LLM, Multimodal LLM, Alignment) and Distributed systems.
• High level understanding and ability to explain both the code and the underlying math used in algorithms/models. Must have excellent coding proficiency with demonstrated expertise in python, java, R, etc. Expert level knowledge of AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)
• 5+ years of developing models and algorithms independently, writing your own code, developing strategy for algorithmic experimentation, and deploying in production.
• Experience with both batch and streaming models in production.
• Advanced knowledge of math, probability, statistics, and models.
• Experience with Hadoop, AWS or other distributed compute services.
• Exposure to data structures, data modeling and software architecture skills.
• Excellent communication skills.
• Excellent cross-functional collaboration skills.
• Outstanding analytical and problem solving skills.
• Advanced degree in Computer Science, Mathematics or similar field.