**Experienced Full Stack Applied Scientist – AI Solutions for Customer Service Excellence**

At arenaflex, we're revolutionizing customer service by harnessing the power of cutting-edge AI solutions. Our Device, Digital and Alexa Support (D2AS) team is at the forefront of this innovation, striving to provide unparalleled customer experiences across Amazon's digital products. We're seeking an exceptional Applied Scientist to join our ranks, driving the development of Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP) techniques to resolve customer issues and deliver earth's best customer service. **A Day in the Life at arenaflex** Imagine working in a highly collaborative environment where ideation, experimentation, iteration, optimization, and scaling are the norm. Our team thrives on solving challenging problems, pushing the boundaries of technology to create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment. **Key Responsibilities** As an Applied Scientist at arenaflex, you'll have the opportunity to: * Drive collaborative research and creative problem-solving to develop innovative AI solutions * Apply scientific concepts to real-world business problems, leveraging your expertise in LLM, ML, and NLP * Create experiments and prototype implementations of new learning algorithms and prediction techniques * Collaborate with engineering teams to design and implement software solutions for science problems * Constructively critique peer research and mentor junior scientists and engineers **Essential Qualifications** To succeed in this role, you'll need: * 3+ years of experience building models for business applications * A PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field * Experience in patents or publications at top-tier peer-reviewed conferences or journals * Proficiency in programming languages such as Java, C++, Python, or related languages * Experience in areas like algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing **Preferred Qualifications** While not required, experience in the following areas will be highly valued: * Using Unix/Linux * Professional software development * Research and implementation of multi-turn task-oriented dialogue systems * Natural Language Understanding / Spoken Language Understanding * Information Retrieval, Question Answering, Semantic Representation * Zero-shot or Few-shot Learning * Crowdsourced NLU annotation best practices * Reinforcement Learning (preferably in an NLP application) * Computational Linguistics * Large scale text classification **About arenaflex** arenaflex is a global leader in customer service, committed to a diverse and inclusive workplace. We're an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit our website. **Benefits and Compensation** arenaflex offers a comprehensive benefits package, including: * Medical, Dental, and Vision Coverage * Maternity and Parental Leave Options * Paid Time Off (PTO) * 401(k) Plan * Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. **Why Join arenaflex?** At arenaflex, we're passionate about making digital experiences effortless for customers. Our team combines strategic thinking, technology expertise, and customer experience best practices to provide the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience. **How to Apply** If you're passionate about this role and want to make an impact on a global scale, please apply via our internal or external career site. We can't wait to hear from you! **About the Team** Our D2AS team strives to make digital experiences effortless for customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products. Our team combines strategic thinking, technology expertise, and customer experience best practices to ensure customers can easily get the most value from Amazon's digital offerings. **Career Growth Opportunities** At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of opportunities for professional development, including training programs, mentorship, and opportunities to work on high-impact projects. **Learning Benefits** We believe in the importance of continuous learning and development. Our employees have access to a range of learning resources, including online courses, conferences, and workshops. **Work Environment and Company Culture** Our work environment is collaborative and dynamic, with a focus on innovation and experimentation. We're committed to creating a culture that values diversity, inclusion, and employee well-being. **Conclusion** If you're a talented Applied Scientist looking for a challenging and rewarding role, we encourage you to apply. Join our team at arenaflex and be part of a global leader in customer service. Together, let's revolutionize customer service and deliver earth's best customer experience. Apply for this job