As a Research Engineer specializing in Machine Learning and Systems Engineering at our company, you will be instrumental in pioneering sophisticated AI solutions. This role demands a unique blend of leadership in conducting end-to-end research projects and technical expertise in building scalable systems. You'll be part of an ambitious team pushing the frontiers of the creative economy through innovation in generative media applications.

Job Responsibilities:

Lead and manage end-to-end machine learning research projects, from conceptualization to deployment, ensuring that they align with strategic business goals.

Design, develop, and implement scalable and efficient data engineering and machine learning systems.

Craft advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow, particularly for generative media applications.

Work collaboratively with cross-disciplinary teams to apply machine learning insights to enhance product offerings.

Employ rigorous testing and iterative improvement processes to optimize the performance and accuracy of machine learning models.

Stay updated on the latest AI research trends and technologies to guide and innovate future projects.

Minimum of 5 years of hands-on experience in machine learning model development, with expertise in JAX, PyTorch, and TensorFlow.

Demonstrated capability to independently lead research projects with end-to-end responsibility.

Deep understanding of systems engineering with a focus on building scalable solutions for large-scale data processing and model training.

Experience with low-level optimizations, such as CUDA kernel programming, is highly regarded but not mandatory.

Strong problem-solving skills and the ability to collaborate effectively within a multidisciplinary team environment.