Top Machine Learning Jobs in Leon
As a Machine Learning Scientist - NLP, you will leverage machine learning and deep learning techniques to solve complex problems in natural language processing and more. You will collaborate with various teams to deploy solutions in production, research new methods, and develop scalable models for real-world applications.
Applied AI/ML Senior Associate role at JPMorgan Chase & Co. Responsibilities include developing AI/ML solutions, collaborating with teams, and advising on optimal solutions. Required qualifications include advanced degree in analytical field, experience in AI/ML, NLP, and strong coding skills in Python.
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 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 Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.
Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues on challenging technical problems. Lead the conception and implementation of large-scale experiments to validate novel ideas. Apply latest theoretical advancements to enhance existing products and technologies. Conduct experiments across various computer science domains.
Apply sophisticated machine learning methods in the Time Series and Reinforcement Learning group at JPMorgan Chase. Develop scalable tools for real-world problems in finance and operations, collaborating with various lines of business. Lead projects from conception to deployment of production-level machine learning applications.
As Vice President in the Machine Learning Scientist - NLP team, responsible for applying advanced ML techniques to tasks like NLP, speech analytics, time series, and recommendation systems. Collaborate with various teams, drive firm-wide initiatives, develop ML models, and contribute to knowledge sharing community. PhD in a quantitative discipline with 3 years of industry experience or MS with 5 years. Strong background in NLP, deep learning, machine learning toolkits, big data, and scalable model training. Experience in designing experiments, intrinsically evaluating model performance, and effective communication.
Featured Jobs
Machine Learning Scientist specializing in Natural Language Processing (NLP) at a senior associate level. Responsibilities include researching and implementing machine learning models, collaborating with cross-functional teams, and driving firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3 years of industry experience, expertise in NLP and deep learning, proficiency in machine learning toolkits, and strong communication skills.
Research, develop, and implement state-of-the-art machine learning models for NLP, speech recognition, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions and drive firm-wide initiatives. Independently study, research, and experiment with new innovations in machine learning.
As a Senior Associate Machine Learning Scientist, you will leverage advanced machine learning techniques to tackle challenges in natural language processing, speech analytics, time series, and recommendation systems. You will collaborate with multiple teams to develop and deploy machine learning models, while also engaging in research and knowledge sharing within the organization.
Lead a modeling or data science engagement end-to-end, act as a subject matter expert and advisor, proactively monitor model performance and customer behavior, mentor junior team members.
Join as an Applied AI ML Senior Associate in the Business Modeling organization responsible for developing cutting-edge models in Marketing, Finance, and Operations domains. Utilize advanced analytics to solve complex business problems, generate actionable recommendations, and contribute to the full modeling lifecycle. Required skills include proficiency in Python, SQL, and experience in machine learning, optimization, and statistical modeling.
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.
The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
As a Senior Machine Learning Engineer, you will manage the development and optimization of a high-revenue data product, collaborate with data scientists and engineers for efficient workflows, and improve the ML Ops platform infrastructure including data pipelines and CI/CD systems.
As a Principal Data Scientist at Zocdoc, you will lead the Search team to enhance their Provider Recommendation System using machine learning algorithms. You will analyze data, interpret results, collaborate with various business partners, and mentor junior data scientists to drive strategic data initiatives in healthcare.
The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
The Senior Staff Data Scientist will work closely with the Marketing team to enhance marketing initiatives through statistical modeling and machine learning. Responsibilities include implementing Media Mix Models, conducting performance analysis, building attribution models, and developing dashboards to communicate insights. Staying updated with industry trends and technologies is also crucial.
The Senior Data Scientist in Marketing Analytics will collaborate with the Marketing team to enhance the ROI of marketing initiatives through statistical modeling, machine learning, and data mining. Responsibilities include leading Media Mix Models, establishing marketing measurement frameworks, performing in-depth marketing performance analyses, and developing dashboards to communicate insights.
The Data Scientist will contribute to innovative projects in data science, machine learning, and AI across various sectors, engaging with military and civilian customers to apply cutting-edge technologies and algorithms. They will collaborate with diverse teams, mentor peers, and focus on developing frameworks and tools for mission-critical applications.
As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.
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.
As a Senior Machine Learning Engineer at Rokt, you will design and build machine learning models to tackle various business challenges, work on user targeting, segmentation, and dynamic ad content generation, and mentor team members while collaborating closely with cross-functional teams.
As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.
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