Join our AI Research team to develop advanced robot policies for dexterous manipulation in real\-world environments. As a **Senior Applied Scientist**, you will lead the design, training, and deployment of robot learning models that integrate multimodal perception, policy learning, and physical execution. Collaborate with cross\-functional teams to push the boundaries of embodied AI and solve industrial\-scale challenges in autonomy and simulation. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. **Responsibilities** * Design, implement, and deploy advanced robot learning models and policy architectures for manipulation and autonomous task sequencing, integrating multimodal sensory data, perception, planning, and execution on robotic platforms using ROS/ROS2 * Develop and optimize end\-to\-end policy training pipelines, including policy inference and closed\-loop control systems, for real\-world and simulated environments * Lead data strategy for demonstrations, teleoperation, simulation pipelines, and evaluation frameworks to ensure robust, repeatable, and safe robot policy deployment * Collaborate with cross\-functional teams and AI infrastructure experts to deploy scalable, production\-ready robotics systems * Stay current with embodied AI research, contribute to reproducible research, and share insights through mentorship and technical presentations * Optimize PyTorch implementations, including custom modules and performance tuning, for efficient model deployment **Requirements** * PhD in a relevant STEM field or Master’s with equivalent industry experience in robotics or embodied AI * 3\+ years of experience building and deploying machine learning models on robotic systems, including integration of multimodal sensory data and control outputs * Deep knowledge of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs) * Strong PyTorch skills, with experience authoring custom modules and optimizing performance * Practical experience with Robot Operating System (ROS/ROS2\) and policy integration * Proven impact through publications, open\-source contributions, or production deployments * Ability to lead complex projects involving cross\-functional collaboration * Strong problem\-solving, analytical, and communication skills (English proficiency: C1\) **Nice to have** * Experience in computer vision on 3D data, including perception and affordance modeling * Familiarity with simulation platforms such as Isaac Sim, Mujoco, Gazebo, or PyBullet * Expertise in dexterous manipulation and multi\-step autonomous task execution * Knowledge of visual trends and their application to embodied AI tasks * Experience adapting foundation models for embodied control and instruction\-following agents **We offer** * Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*