178 Algorithm Development Jobs - Page 8

What awaits you Join our perception team to industrialize sophisticated low-level perception algorithms for our next generation of advanced driver assistance systems. At the BMW TechWorks India, we are continuously developing cutting-edge functions for our self-driving car technology. You use your expertise to participate actively in all development phases from prototyping, preparing the training data up to the implementation, testing and deployment of deep learning models. In your daily work, you will find yourself in an international and interdisciplinary environment with an agile mindset. Our campus offers the cloud infrastructure you need to work productively with large amounts of data and focus on the software for the automobile of the future. What should you bring along Solid foundation in computer vision, advanced machine learning, and deep learning principles Proficient experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or ONNX Practical application skills in creating image classification, object detection, semantic segmentation, monocular depth estimation, multi-task, and multi-modal neural networks Experience in testing ML models and CI/CD-based development pipeline Strong programming skills in Python with a solid understanding of data structures and algorithms Excellent communication skills in English and analytical and logical thinking ability Optional/a plus: Familiarity with developing applications using AWS Programming experience in C++ and OpenCL Experience in 3D reconstruction and 3D scene understanding (using Neural Radiance fields, Gaussian Splatting) or related fields Experience in data processing and algorithm development on sensor data from cameras, RADAR, and LiDAR, and knowledge in sensor fusion technology Proficiency in developing custom operations with CUDA

In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to making zero happen zero cost of returns, zero waste, and zero defects to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in language proficiency in: Spanish, French, German, Italian. Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines Maintain high-quality standards for annotated data to optimize model performance Continuously evaluate and improve annotation processes to enhance efficiency and accuracy Strong analytical skills and the ability to deep-dive on complex problems Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills Bachelors degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications 1+ years of proven experience in data annotation and labeling for ML model training and evaluation Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazons product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain

Learn about the existing products and technologies in the Energy systems area and map it with business/technical needs of customer. This may include meeting/training with business divisions (both domestic and overseas). As a Senior/Chief Researcher, the candidate is expected to pursue good technology proposals patiently, persistently, and proactively to business division to impart competitive advantages to the existing and future product/solution development. Knowledgeable about technical and market trends, domain knowledge in both Electrical (Energy Systems) and Digital (Software - Algorithm development in AI/ML to model or estimate energy related phenomenon) with proficiency in scientific/simulation-based development environment. Flexible to learn about the existing products, technologies, simulation tools. This may include meeting/training with business divisions (both domestic and overseas. The attitude of self-motivation and leadership is necessary for a continued success in his/her career as a researcher. Qualifications: Essential Master s degree in electrical engineering - Power Systems or Power Electronics related area with good foundation of modern energy systems and optimization. Proficiency in working/supervision development in Simulation software and coding in MATLAB, SIMULINK. Working experience with python to implement AI/ML based prototypes for energy systems e.g. cyber-physical data driven models, forecasting etc. Fair understanding of optimization algorithms (operation research taken as elective or used in project work) that can be applied to energy systems both from planning and operation perspective. Good communication, reporting, presentation and cross-cultural skills for collaboration with business groups and global network of the company Desirable PhD in Electrical Engineering Research/Technical Papers published in abovementioned areas. Full-time working experience that includes responsibility in R&D centre with Digital solutions for Energy systems. Understanding of End-to-end product or solution development is preferred. Proficiency and experience in using python-based optimization/AI libraries to solve for energy system challenges. Matlab, R&D, Simulink