AI Engineer

We are looking for several talented and driven AI Development Engineers to join our newly-created AI team. In this role, you will contribute to the development, testing, and deployment of advanced AI models and systems that power innovative solutions in the audio-visual space. If you’re passionate about AI and machine learning, this is an exciting opportunity to be one of the key hires shaping the future of content creation. Key Responsibilities: AI Model Development : Help design, implement, and optimize machine learning models and algorithms. Model Evaluation : Test and validate AI models to ensure accuracy, efficiency, and scalability. Collaboration : Work with cross-functional teams to integrate AI solutions into production systems. Documentation : Maintain clear documentation of AI models and processes for ongoing development. Innovation : Stay ahead of AI advancements and propose new solutions to enhance capabilities. Troubleshooting : Resolve issues related to AI models and systems to ensure high performance. Continuous Learning : Keep developing your skills in AI and machine learning technologies. Qualifications Required: Proficiency in Python Experience with the PyTorch framework Understanding of algorithms, data structures, and software development Experience in managing large datasets and optimizing data pipelines Strong problem-solving abilities with a passion for AI-driven solutions Excellent communication skills, able to explain complex concepts to technical and non-technical audiences Ability to work effectively in a fast-paced, collaborative team environment Nice to have: Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus Published research in AI, especially related to speech/audio-visual AI Expertise in any of the following areas: Experience with optimization and signal processing (statistics, probability, linear algebra) Expertise in novel model architectures like deep learning, generative models, transformers, etc. Knowledge of audio and spectral analysis techniques Familiarity with multimodal embeddings and cross-modal transformers Experience with model efficiency techniques (quantization, pruning) Familiarity with TTS models (VITS, FastSpeech), lip-sync (Wav2Lip) Experience with CUDA, TensorRT, and low-level optimization Experience with distributed model training (multi-GPU, TPU, edge devices) Background in ASR (Whisper, Wav2Vec2), speaker separation, or prosody modelling If you're excited about working in an innovative environment and making a real difference in the world of AI-powered audio and video technologies, we’d love to hear from you. Please note that we are currently unable to provide visa sponsorship.