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The Vice President of Applied AI/ML will lead initiatives in data analysis and machine learning, developing AI/ML solutions to enhance forecasting and productivity in the FP&A organization. Responsibilities include designing and implementing solutions, collaborating with stakeholders, mentoring teams, conducting data analysis, and staying updated with latest advancements in the field.
As a Machine Learning Engineer at JPMorgan Chase, you will design and develop ML systems, preprocess data, implement ML algorithms, and support ML workflows. You will transform data science prototypes into deployable ML applications, ensuring the systems meet business analytical requirements.
As a Summer Associate in Computer Vision and Machine Learning, you will contribute to research efforts in trustworthy computer vision and machine learning technologies, offering innovative solutions to internal teams, collaborating on scientific documentation, and enhancing JPMC's intellectual property.
As a Senior Machine Learning Engineer, you will leverage your expertise to develop analytical and machine learning solutions focused on mitigating risk and fraud for Cash App. You'll collaborate with cross-functional teams to balance financial loss, regulatory risks, and enhance customer experiences, deploying updates regularly based on data-driven insights.
As a Staff Machine Learning Engineer in the Risk team at Cash App, you'll develop ML solutions to mitigate risk and fraud while collaborating cross-functionally with various teams. You'll utilize your expertise in machine learning algorithms and data analysis to enhance product lifecycle management.
As a Director of Architecture in the AI/ML Solution Architecture Group at JPMorgan Chase, you'll lead the development and implementation of machine learning solutions. Responsibilities include engaging with stakeholders, defining data processes, collaborating with data scientists, and providing technical leadership throughout the machine learning lifecycle.
As a Vice President in the NLP team, you will apply advanced machine learning techniques to NLP, speech analytics, and recommend systems. Collaborate with various teams to implement solutions, drive firm-wide initiatives, and research new machine learning methods.
As a Senior Associate, you will apply advanced machine learning techniques in NLP and speech analytics to develop models addressing complex banking challenges. Your role includes collaborating with various teams and driving initiatives for scalable applications of machine learning models.
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The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.
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The Senior Director of Data Science will lead a team of data scientists and engineers to innovate advanced measurement products in ad tech. Responsibilities include driving strategy, managing projects, mentoring staff, and collaborating with various teams to deliver data-driven insights and solutions.
The Senior Scientist will advance Tempus' drug R&D platform by performing complex analyses, developing algorithms for precision medicine, and collaborating with Research, Engineering, and Data Science teams. Responsibilities include driving innovation, co-developing solutions with clients, and effectively communicating insights from extensive multimodal datasets to diverse stakeholders.
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As a Staff Data Scientist, you will lead the development of models for Airbnb's search and personalization strategy, working closely with engineering and product teams. You will design and evaluate inference frameworks, integrate marketplace dynamics into models, and ensure the quality and alignment of algorithms with product goals. Your role also involves effective communication of complex ideas to diverse audiences.
Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.
Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
Research Scientists at Google DeepMind work on developing algorithms and software prototypes for robotic agents, report research findings, collaborate with teams, and maintain relationships with research labs. The goal is to advance embodied AI technology for practical applications.
The Lead Applied Research Scientist - Responsible AI will develop strategies for creating cutting-edge generative AI capabilities while addressing ethical risks. They will lead projects focusing on AI trust and safety, and work collaboratively with cross-functional teams to ensure responsible AI practices are implemented throughout the development process.
The AI Solution Manager role involves partnering with customers to identify enterprise-level problems solvable by ML applications, leading cross-functional teams to develop AI solutions, and collaborating with sales to expand accounts. The role requires excellent problem-solving, communication skills, and a strong understanding of business operations.
The Data & AI Policy Analyst will define data strategies that comply with international legislation on data collection and analysis. They will collaborate with scientists and policy experts to align computational plans and manage data access, while developing implementation plans to ensure adherence to data policies in the gRED context.
The Senior Data Scientist will lead AI/ML projects by applying statistical modeling and machine learning to optimize promotional strategies, analyze customer data, and enhance decision-making with actionable business insights. This role involves developing predictive models, collaborating with cross-functional teams, and communicating findings effectively to business partners.
As the Director of Engineering for Machine Learning at Waymo, you will manage multiple teams of machine learning engineers, push the boundaries of deep learning technology, and lead technical vision in solving complex robotics challenges while fostering collaborative relationships across the company.
As an AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.
The Senior Researcher in Responsible AI at eBay will lead the evaluation of AI systems focusing on fairness, equity, and safety. Responsibilities include collaborating with research and engineering teams, conducting model evaluations, and contributing to responsible AI thought leadership. The role necessitates high skills in machine learning evaluation and practical experience in software development.
The Principal Data Scientist will lead the development of predictive models to enhance revenue expansion and reduce churn for Magnify's customers. This involves leveraging various datasets, innovating around data science methodologies, and collaborating with engineering to build reliable data science pipelines.
As the VP of Data & Analytics at Get Well, you will develop and implement a comprehensive data strategy, oversee the data team, partner with leadership to define data needs, drive advanced analytics and machine learning initiatives, and ensure compliance with healthcare regulations.
The Lead Data Scientist for People & Culture develops predictive models, conducts statistical analysis, and creates data visualizations to help inform organizational decisions. This role collaborates with various stakeholders to enhance HR processes using data-driven insights and stays updated on advancements in data science and analytics.
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