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Research Engineers/Scientists

Generative AI, Large Language Models

Are you our Next Visionary?

We are seeking multiple exceptional Research Engineers and/or Scientists to join our Research and Development team. The candidates will be primarily responsible for developing cutting-edge technologies in the fields of Generative AI and Large Language Models, with applications to conversational agents, machine translation, and question-answering. This is an exciting opportunity for individuals who want to work on transformative technologies that have a direct impact on both consumer experience and business operations.

Who is enables enterprises to engage in meaningful and fluid conversations with their audiences across modalities, channels, and languages with its visionary multimodal, plan-based Conversational AI, Eva (Enterprise Virtual Assistant). The platform is finely tuned by world-class AI experts to orchestrate the latest AI approaches and tools to deliver the best solutions possible for their end-users and businesses. The company is headquartered in Bridgewater, NJ, and offers its solutions and expertise to visionary enterprises worldwide.

Key Responsibilities
  • Research and Development: Conduct research and develop pipelines to build LLMs on text, and possibly other data modalities such as speech, image, and video.
  • Model Development: Build, test, and deploy LLMs for real-world applications, including machine translation, conversational agents, and question answering.
  • Collaboration: Collaborate with cross-functional teams including engineering, product management, and user experience teams.
  • Code Development: Write efficient, maintainable code for implementing prototypes and production-level models.
  • Designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
  • Demonstrated experience in designing and implementing scalable AI models for production.
  • Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
  • Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient finetuning, instruction fine-tuning, alignment techniques such reinforcement learning with human feedback (RLHF), advanced prompt engineering techniques like Tree-of-Thoughts, RAG, and tool-augmented LLMs.
  • Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), HuggingFace libraries, etc.
  • PhD or Master’s Degree in Computer Science, Machine Learning, NLP, or a related field.
  • Strong programming skills in Python, PyTorch, C++, or other relevant languages.

Candidates will work from our Melbourne, Australia office. Australia is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.