AI Scientist - Conversational AI at Elloe

About the Role:

As a remote AI Scientist at Elloe AI, you will join a dedicated product team (a "pod") and use your Large Language Model (LLM) modeling and experimentation skills to integrate the latest global AI breakthroughs into our conversational AI solutions. Your insights and expertise will play a critical role in addressing customer needs and aspirations.

Our target market consists of businesses eager to enhance their communication strategies and improve customer experiences. We help organizations leverage artificial intelligence to facilitate seamless interactions, automate tasks, and deliver personalized responses. We see AI as a strategic partner to businesses, assisting them in creating intelligent conversational agents that drive customer satisfaction and operational efficiency.

Our remote work culture prioritizes collaboration, flexibility, and innovation. Our team comprises diverse experience levels and backgrounds, and we foster an environment that encourages knowledge sharing, mentoring, and career growth.

What you will do at Elloe AI:

• Utilize your modeling skills to train, fine-tune, retrieve, adapt, and feature engineer the best of NLG AI for our conversational AI platform and business customers.
• Seamlessly integrate new R&D into our production AI engine in scalable, interoperable components.
• Act as a player-coach, building, coding, testing, and coaching junior data scientists, research partners, and product managers. You can engage with highly skilled researchers and discuss design feedback with product managers or customers.
• Test hypotheses to enhance user experience with the models powering our product. Your findings may guide our research partners or product managers towards new directions.
• Innovate and collaborate with cross-functional teams to develop ground-breaking AI solutions that address real-world business challenges.

What you will bring to Elloe AI:

• Proven experience in delivering AI/ML value, including NLG and feature engineering. Familiarity with text, image, and other R&D communities is a plus (2 years per level).
• A willingness to be technique, method, and tool agnostic, and systematically explore any avenue that may improve customer outcomes.
• A commitment to rigorous A/B testing and causal inference, as well as an interest in user experience and behavior, trust, and safety.
• Strong knowledge of frameworks such as TensorFlow, PyTorch, and Keras.
• Exceptional communication and collaboration skills, with the ability to inspire and motivate team members while working remotely.