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  • Senior AI Research Engineer - Multimodal Generative AI
    New
    AI/ML

    Senior AI Research Engineer - Multimodal Generative AI

    4 886 - 6 352 USDNet/month - B2B
    4 886 - 5 863 USDGross/month - Permanent
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent, B2B
    Operating mode
    Hybrid

    Tech stack

      PyTorch

      advanced

      AI

      advanced

      ML

      advanced

      Python

      advanced

    Job description

    Online interview

    We are seeking a highly skilled and passionate Senior AI Research Engineer with expertise in multimodal generative models to join our team. As a Senior AI Research Engineer, you will play a key role in developing and advancing cutting-edge solutions in the field of robotics and embodied AI. We are looking for individuals with a strong background and proven track record in deep learning, large generative models, and development of complex AI systems.


    Essential functions


    • You will be a part of the RnD team, designing and developing foundation models in the field of robotics and dexterous manipulation
    • Lead and contribute to cutting-edge research in multimodal models, robotic perception, and motion generation
    • Design, develop, and experiment with novel algorithms, architectures, and techniques that enhance the performance, efficiency, and scalability of our AI models
    • Design and implement robotic applications combining conventional computer vision, motion planning, and generative models
    • Define data generation, collection, and curation strategies; supervise data collection to scale up our datasets and model capabilities


    Qualifications


    • Strong engineering ability with Python and PyTorch
    • Experience building ML models from scratch in PyTorch
    • Academic or professional experience with generative multimodal models such as Diffusion Models and GANs, Transformers
    • Experience with physical simulators (Pybullet, IssacSim, Mujoco, etc.) and training RL policies in simulation is a plus
    • Experience working with large scale AI training (GPU clusters)
    • Strong publication record in deep learning, generative model, multimodal models, computer vision, or RL
    • MS or PhD degree in Engineering or Computer Science or equivalent experience


    We offer


    • Opportunity to work on bleeding-edge projects
    • Work with a highly motivated and dedicated team
    • Competitive salary
    • Flexible schedule
    • Benefits package - medical insurance, sports
    • Corporate social events
    • Professional development opportunities
    • Well-equipped office


    About us


    Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in dataanalyticscloud & DevOpsapplication modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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