…or a related field with a focus on control, learning, and/or robotics. • Deep understanding of safety-critical control, including control barrier functions and…

…state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and…

…This is a rare opportunity to work at the intersection of deep learning, large language models, and robotics — contributing to research that doesn't…

…including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution Capacity learn and grow individually, while mentoring junior team…

…PhD degree in Computer Science, Machine Learning, Data Science, or a related field. - Demonstrated experience in deep learning and transformers models - Experience with content…

…Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute…

…focus on ReactJS and coaching junior engineers Deep mastery of JavaScript, CSS positioning/box-model algorithms, Semantic HTML, and data visualization libraries like D3…

…Deep knowledge of relational algebra and graph algorithms. A familiarity with caching mechanisms and distributed systems. A proven ability to develop and test code…

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve…

…Key job responsibilities - Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems - Analyze and extract relevant…

…Analyze and resolve performance bottlenecks for computer vision, image processing, and deep learning neural networks. Testing & Validation: Write comprehensive test suites, develop automated testing…

…order management, trade execution, market data processing, and risk management. Within the ETT, you will be a member of the Options Algorithmic Trading team…

…We are seeking a highly skilled Principal Software Engineer to join our Clinical Applications Engineering team focused on modernizing provider workflows, inbox management, and…

…learning model life cycle management Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning…

…learning model life cycle management Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning…

…Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an…

…Managing complex state, data relationships, and telemetry for massive, highly populated simulations. High-Frequency Trading (HFT): Processing disparate, massive streams of data for algorithmic…

…Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge…

…settings while maintaining compliance with the best practices in machine learning and deep learning. Conduct regular code reviews and provide technical guidance to team…

…machine learning models or developing algorithms for business application experience - Experience with theory and practice of information retrieval, data science, machine learning and data…

…of API security, including transport-level security, payload encryption, signature algorithms, certificate management, OAuth, and DDoS protection Experience designing highly scalable and resilient software…

…Deep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management Proven…

…Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning…

…You'll lead by example, going deep across web applications, distributed compute, ML Ops, data pipelines, and optimization algorithms, and through architecture and mentorship…

…building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision…