Senior Machine Learning Engineer

About us:

Idomoo is revolutionizing the world with video, empowering brands to create and deliver personalized, interactive and customizable videos at an unmatched scale and speed. How do we do it? Our award-winning Next Generation Platform leverages automation tools and AI to combine data with video creative, generating millions of videos in real time.

From onboarding to upselling and beyond, Personalized Video is always relevant and relatable, adding a human touch that instantly upgrades your CX. And all this innovation is at your fingertips with our easy-to-use, fully open platform.

This is a unique opportunity to play a major part in the development of innovative video platform solutions. As a Senior Machine Learning Engineer in our GPU team, you will collaborate with our R&D and innovation teams to create and optimize Idomoo AI video platform and have a great understanding of user inputs and preferences, leading to more accurate and engaging video content.

Job Description

• Lead the design, implementation, and optimization of Idomoo AI models to improve video relevance, personalization, and overall quality.
• You will be in charge of designing, training, and deploying state-of-the-art neural models for development-related tasks.
• Setup of learning information, including data preprocessing, feature engineering, and model configuration, to facilitate efficient and effective machine learning processes.
• Collaborate closely with cross-functional teams, including engineers, designers, and product managers.
• Rapidly prototype and experiment with cutting-edge ideas. Validate hypotheses through empirical research and data-driven methodologies. Iterate on models to achieve exceptional performance.
• Stay abreast of emerging trends and advancements in ML, NLP, and distributed computing, applying these insights to drive continuous innovation within Idomoo.

Required Qualifications

• B.Sc. in Computer Science, Engineering, Math, or other quantitative / technical field.
• Practical experience in machine learning, deep-learning, data analysis, or other algorithmic research.
• 4+ years of hands-on experience designing, training, and deploying machine-learning models, either in TensorFlow or PyTorch.
• Practical experience with Natural Language Processing (NLP) and LLMs.
• Experience with design, architecture, coding, integration, deployment, and monitoring stages.
• Self-learner with can-do attitude.
• Excellent team player with the ability to work independently.
• Excellent problem-solving skills, with the ability to tackle complex challenges in creative and efficient ways.
• Strong communication and collaboration skills, capable of working effectively in a dynamic, fast-paced environment.