• Participate in pre-sales phase to show company expertise, provide technical design and estimations; • Work collaboratively with the data science team, backend engineer, devops, focusing on understanding business challenges and identifying potential tech-based solutions. • Coach and lead ML Engineers; • Develop and assess data-driven models with a focus on Natural Language Processing (NLP) and generative AI technologies. • Utilize advanced techniques such as Large Language Models (LLM), Retrieval Augmentation Generation (RAG), and semantic vectors to enhance model performance. • Collaborate with a team and client to ensure prompt alignment with project goals and user needs; • Monitor and analyze performance to identify areas for improvement; • Optimize AI prompt generation process to enhance overall system performance; • Stay up-to-date on the latest advancements in AI, natural language processing and machine learning; • Provide support to teams in understanding prompt engineering best practices; • Draft and distribute reports on prompt performance and development progress

• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. • Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios. • Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements. • Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).

• Build and orchestrate LLM agents using Gemini Pro and LangChain • Design, implement, and operate RAG solutions at scale • Integrate with Gemini and Vertex AI using API • Debug and optimize end-to-end LLM pipelines • Deliver production-ready AI services • Participate in solution design and technical decision-making • Continuously evaluate and experiment with new LLM models • Implement AI safety, security, and compliance controls

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're building a next-generation AI-powered platform and web application for creating audio and video content quickly and easily. This involves developing a revolutionary way to record, transcribe, edit, and mix audio and video on the web using state-of-the-art AI models—a challenge that requires solving complex technical problems. We're hiring a senior engineer to join our AI Platform and Enablement team. The ideal candidate thrives in a fast-moving, high-ownership environment and is comfortable navigating the ambiguity of bringing research work into an established product. The team’s objective is to support integrating cutting-edge first-party models (developed by our in-house AI Research team) and third-party/open source AI models into the Descript product. - Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs - Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure - Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient - Optimize and scale our models and algorithms for efficient inference - Deploy, monitor, and manage AI models in production Qualifications - Experience in deploying and managing AI models in production - Experience with the tools of large volume data pipelines like spark, flume, dask, etc. - Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes) - Knowledge of DevOps and MLOps best practices - Strong problem-solving abilities and excellent communication skills Requirements - Experience with generative AI models - Familiarity with audio and video processing - Knowledge of Python, C/C++, CUDA, and experience profiling GPU performance and distributed training runs - Experience with machine learning frameworks like PyTorch, TensorFlow or similar Benefits - A generous healthcare package - 401k matching program - Catered lunches - Flexible vacation time Company Description Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in-person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.