Applied Scientist

RxREVU, Inc.; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Audible is seeking an Applied Scientist in Berlin to tackle large-scale ML/AI problems, focusing on NLP, GenAI, and real-time distributed systems, delivering production-ready models that scale to millions of listeners.

You will collaborate with researchers, engineers, and product teams to design scalable solutions and push the boundaries of innovation in a fast-paced environment.

Aufgaben

• Understand use cases and design scalable ML/AI solutions that solve real customer needs.
• Collaborate with scientists, software engineers, and product teams to productionize models.
• Design, develop, and deploy modeling techniques for Content Understanding, Recommendations, and GenAI-based features.
• Contribute to initiatives that apply recent ML/AI advances in a fast-paced, experimental environment.
• Push the boundary of innovation in large-scale distributed computation.

Jobbeschreibung

At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE

As an Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing (NLP), Reinforcement Learning (RL), real-time and distributed systems.

ABOUT YOU

Your work will focus on inventing or adapting scientific approaches, models, and algorithms driven by customer needs at the project level. You will develop components and/or end-to-end solutions that are deployed into production or directly support production systems, delivering consistently high-quality work that meets both scientific and engineering best practices. You will develop reusable science components and services that resolve architecture deficiencies and customers' pain points, while making technical trade-offs for long-term/short- term. You will work semi-autonomously to deliver solutions, contribute to research papers at peer-reviewed venues when appropriate, and document your work thoroughly to enable others to understand and reproduce it. Your decision-making will consistently incorporate robust, data-driven business and technical judgment. You will collaborate with other scientists to raise the bar of both scientific and engineering complexity for the team and to foster valuable scientific partnership opportunities to help/guide science decisions. We work in a highly collaborative, fast-paced environment where scientists, engineers, and product managers work to test and build scalable foundational capabilities, as well as customer facing experiences. You will have the opportunity to innovate and think big within your projects scope, implement optimization services and algorithms, and influence the experiences of millions of customers. We are looking for a results-oriented Applied Scientist with deep knowledge in ML, NLP, Deep Learning, GenAI, and/or large-scale distributed computation.

• Understand use cases across the business and adopt/extend/design/invent solutions/models that are scalable, efficient, and automated for difficult problems that are not well defined
• Work closely with fellow scientists and software engineers (at Audible and Amazon) to build and productionize models, deliver novel and highly impactful features
• Review models of peers for the purpose of reducing and managing risk to the business, while improving customer experience
• Design, develop, and deploy modeling techniques and solutions for Content Understanding, Recommendations, GenAI-based product features, by employing a wide range of methodologies, working from simple to complex
• Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment
• Push the boundary of innovation

ABOUT AUDIBLE

Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.