Head of Machine Learning

Description The Head of Machine Learning will lead our research and development efforts in generative models with a main focus on multimodal generation, with main focus on video generation but also audio, and language-based models.This strategic leadership position sits at the intersection of technical expertise and organizational vision, requiring both hands-on experience with generative models and the ability to guide teams toward breakthrough results. You will be responsible for designing ML architectures and training pipelines, building and managing a skilled technical team, and ensuring research innovations can be successfully implemented in production environments, audio integration, and language model applications. This includes building systems that coordinate multimodal inputs—visual, auditory, and textual—to enable rich, realistic, and controllable outputs for creative and production workflows. Key Responsibilities / Job Duties Research & Development Leadership ● Define and execute the strategic roadmap for generative ML research aligned with company objectives ● Lead research initiatives in multimodal generative models (video, audio, language), temporal consistency techniques, and multimodal generation with main focus on video generation ● Design and optimize large-scale training and fine-tuning pipelines for generative models ● Drive innovation in ML architecture, evaluation methodologies, and performance optimization ● Balance scientific experimentation with practical business outcomes.   Team Building & Development ● Build, lead, and mentor a diverse, high-performing ML team ● Establish clear performance metrics, career development paths, and growth opportunities for team members ● Foster a collaborative culture that encourages knowledge sharing, creative problem-solving, and continuous learning ● Recruit and retain top ML talent through effective leadership and compelling technical challenges Cross-Functional Collaboration ● Partner with product, engineering, and creative teams to integrate ML innovations into production systems ● Translate complex ML concepts into accessible terms for non-technical stakeholders● Balance research ambitions with practical business needs and timeline constraints Technical Strategy & Vision ● Contribute to the company's overall technical and product strategy ● Evaluate emerging technologies and methodologies for potential adoption ● Establish technical standards and best practices for ML development ● Engage with the external research community through publications, conferences, and collaboration   Job Requirements / Must Haves ● Exceptional leadership, mentorship, and communication skills. ● Proven track record in leading machine learning R&D teams or projects. ● Advanced degree in Computer Science, Machine Learning, AI, or a related field. ● Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). ● Deep…