Research Scientist - Voice AI Foundations
DeepgramFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a minimum Bachelor's degree in Computer Science, Data Science, or a related field, with a strong background in AI/ML focusing on generative models. Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, and Hugging Face is essential, alongside practical experience with LLM APIs or open-source models. Expertise in prompt engineering, model-serving infrastructure configuration (e.g., MCP servers), and strong problem-solving and collaboration skills are required. Publications or open-source contributions in generative AI are a plus.
The Generative AI Engineer will design, build, and optimize LLM-powered applications, including prompt engineering and integration of third-party models. Responsibilities include configuring model-serving environments (MLOps/AI Infrastructure), preprocessing data for model fine-tuning, and collaborating with cross-functional teams to align AI capabilities with user experience goals. The role also involves defining metrics, monitoring AI systems for quality and bias, and staying current with generative AI advancements to propose innovative applications.
Visual collaboration tools for teams
Lucid provides tools for visual collaboration, helping teams brainstorm, diagram, and visualize complex ideas and software. Its main products include Lucidchart, which allows for intelligent diagramming, Lucidspark for virtual brainstorming sessions, and Cloud Insights for visualizing software architecture. These tools are especially beneficial for remote teams, enabling them to collaborate effectively as if they were in the same room. Lucid serves a wide range of clients, including nearly all Fortune 500 companies, and operates on a subscription-based model with various pricing tiers to meet different organizational needs. The company's goal is to simplify complexity, providing teams with the clarity and context necessary to work efficiently.