Research Engineer, Machine Learning
July 11
🏢 In-office - Manhattan
Description
• Train, implement, and deploy machine learning models that drive product innovation and solve complex real-world problems. • Apply scientific principles to implement state-of-the-art algorithms and solutions for generative computer vision and video technologies. • Experiment with and optimize advanced neural network architectures for improved performance and efficiency. • Collaborate with cross-functional teams to integrate ML models into scalable systems and services impacting millions of users. • Stay current with the latest research and advancements in the field of machine learning and computer vision.
Requirements
• Masters in computer science or related field and 3+ years of industry experience. • Strong academic background with a focus on computer vision and hands-on experience implementing generative models. Specializations can include Diffusion, Video Generation, NeRFs, Gaussian Splatting, GANs, etc. • Expertise in Deep Learning: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with hands-on experience in training and implementing generative models. • Strong understanding of Computer Science fundamentals (algorithms and data structures).
Benefits
• Comprehensive medical, dental, and vision plans • 401K with employer match • Anything you need to do your best work • Team off-sites to various locations
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