Lead research on machine learning and large language models to advance AI capabilities for housing and healthcare applications.
Compensation
The salary range for this role is $150,000 - $230,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package.
Responsibilities
Develop and refine machine learning architectures optimized for advanced conversational flow
Conduct comprehensive analyses to support decision-making and improve the effectiveness of our AI solutions
Apply advanced mathematical and machine learning techniques to solve specific problems such as optimizing tenant engagement strategies, predicting tenant behavior, and improving customer interaction processes
Stay abreast of the latest research in machine learning and AI, and apply innovative approaches to improve our products
Work closely with cross-functional teams, including engineering, product development, and data science, to integrate and deploy machine learning models
Develop advanced machine learning solutions to improve customer acquisition, engagement, retention, and lifecycle marketing effectiveness for SiriusXM and Pandora.
Responsibilities
Design, develop, deploy, and improve machine learning models that support customer acquisition, engagement, retention, targeting, personalization, and marketing optimization initiatives.
Apply advanced machine learning techniques, including predictive modeling, classification, optimization, experimentation, deep learning, and reinforcement learning approaches to solve complex marketing challenges.
Own machine learning projects from problem definition and data exploration through model development, deployment, evaluation, and ongoing optimization.
Evaluate model performance using offline metrics, experimentation frameworks, and business outcomes to ensure solutions deliver measurable value.
Partner closely with Product, Marketing, Engineering, Analytics, Finance, and Data teams to identify opportunities and implement machine learning solutions that improve business performance.
Requirements
M.S. in Computer Science, Machine Learning, Statistics, Economics, Applied Mathematics, Operations Research, or a related quantitative field
As a Marketing Data Scientist, you will leverage our advanced data infrastructure on the Google Cloud Platform (GCP) to generate actionable insights.
Responsibilities
You conduct detailed analyses of customer, marketing, and onsite data using SQL and Python to optimize the operational management of marketing campaigns.
You will take end-to-end ownership of your analytical projects—from initial data analysis and preparation to model evaluation and the automated delivery of findings.
Expand and optimize Data Science use cases, such as marketing mix modelling or bidding optimizations, using open source technologies.
Develop and provide self-service BI solutions tailored specifically to marketing requirements and customer attributes.
Design and build infrastructures to support features that empower billions of Siri, Spotlight, and Safari users, performing language processing, statistical analysis, and user intent analysis to improve product outcomes.
Locations (2)
Beijing, China
Shanghai, China
Responsibilities
Design and build infrastructures to support features that empower billions of Siri, Spotlight, and Safari users
Perform language processing, statistical analysis, and user intent analysis to support hypotheses for product improvement
Leverage proprietary parallel data processing platform to process web‑scale data
Design and run/deploy metrics and evaluations of features and improvements using A/B testing
Present results of analysis to team and leadership across Apple
Requirements
Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related technical field
Doing large scale machine learning and deep learning to improve Query Understanding and Ranking of Siri Search and developing fundamental building blocks needed for Artificial Intelligence.
Locations (2)
Beijing, Beijing, China
Shanghai, Shanghai, China
Responsibilities
Design and build infrastructures to support features that empowers billions of Siri, Spotlight, and Safari users.
Perform language processing, statistical analysis, and user intent analysis to support your hypothesis for how to improve product-outcomes.
Leverage proprietary parallel data processing platform to process web scale data to deliver product features and improvements.
Design and run/deploy various metrics and evaluations of features/improvements using a variety of tools like grading, logs processing, pre-launch and holdback A/Bs.
Present results of analysis to team and leadership across Apple.
Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to gather and analyze requirements for custom software development.
Maintain and improve existing software components to enhance performance and reliability.
Senior Data Scientist for a consultancy mission focused on building responsible AI models for Marketing and Communication, utilizing LLMs, text classification, and summarization.
Responsibilities
Tackle various business challenges by creating responsible AI models to answer the needs of Marketing and Communication and make campaigns more relevant and impactful.
Capture business needs, determine feasibility, build models and analyses to identify the most relevant target groups, and set up tests to measure model impact.
Build models to support customer journey-driven marketing campaigns.
Build pipelines that clean and structure web analytics and use LLMs to detect customer intent.
Develop and deploy automated summarization models using LLMs or traditional NLP methods.
Requirements
Master's degree or higher in a quantitative field such as statistics, mathematics or computer science
Lead data science initiatives for Blue Yonder’s Applied Data Science team, driving product adoption, forecasting, planning, and pricing improvements for customers.
Responsibilities
Select, build, and optimize classifiers using advanced machine learning techniques.
Conduct data mining using cutting-edge methods and tools.
Integrate third-party data sources to enhance the company’s datasets when necessary.
Refine data collection procedures to ensure relevant data is available for analytic systems.
Process, cleanse, and verify the integrity of data used for analysis.
Requirements
Bachelor’s or master’s degree in computer science with a focus on Data Science
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