Engineering Lead, Groq

• We are looking for an experienced and hands-on Engineering Leader for our MultiModal Team
• You have a passion and fundamental understanding of multi modal generative ai models
• You have existing experience building, running, optimizing or implementing non trivial adaptations of multi modal models (speech detection, speech generation, visual question answering and image generation)
• You will work collaboratively with cross-functional teams to create innovative solutions that drive our cloud-based AI initiatives
• Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• Experience: 10+ years of experience in machine learning, with a focus on multimodal models and applications
• Leadership: 6+ years experience with a proven track record of building high performance teams and code
• Proficiency in programming languages such as Python, C++, and familiarity with libraries like TensorFlow, PyTorch, and OpenCV
• Strong understanding of machine learning frameworks and methodologies, including deep learning architectures
• Experience with data processing and feature extraction for text, images, and audio
• Analytical Skills: Strong problem-solving abilities with a data-driven approach
• Communication: Excellent verbal and written communication skills, with the ability to convey complex concepts to non-technical stakeholders

Desirable

• Model Development: Design, implement, and optimize multimodal machine learning models to enhance GroqCloud’s capabilities
• Data Processing: Develop efficient data preprocessing pipelines for various modalities, ensuring high-quality input for model training
• Collaboration: Work closely with data scientists, software engineers, and product managers to align multimodal solutions with business objectives and user needs
• Performance Optimization: Analyze and fine-tune model performance, scalability, and efficiency, leveraging Groq’s unique hardware architecture
• Prototyping and Testing: Build prototypes and conduct experiments to evaluate the effectiveness of multimodal approaches, iterating based on findings
• Documentation and Reporting: Maintain comprehensive documentation of model architectures, processes, and results, and communicate findings to stakeholders
• Stay Current: Keep abreast of the latest developments in multimodal AI and contribute to Groq’s research and innovation efforts