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Top Artificial Intelligence Jobs in NYC, NY
As a Manager, Data Scientist, you will lead the development of generative AI-based solutions for financial data analysis. Collaborate with a cross-functional team, fine-tune large language models, manage data annotation projects, and optimize data and model pipelines to deliver impactful products.
In this role, the AI Engineer will partner with cross-functional teams to design, develop, deploy and support AI software components, leveraging open source and SaaS AI technologies to build powerful AI models and systems that enhance Capital One's products and customer interactions.
Lead the development and deployment of AI-powered products at Capital One, working collaboratively with cross-functional teams. Responsibilities include designing AI software components, leveraging various AI technologies, and contributing to the long-term AI systems roadmap.
As a Distinguished AI Engineer at Capital One, you will develop and support AI software components while collaborating with cross-functional teams to build AI-powered products. You will work on large language models, optimization techniques, model evaluation, and contribute to foundational AI systems.
The Senior Manager of AI Engineering will lead a cross-functional team to design and deploy AI-powered products, oversee AI software component development, and improve performance of production AI systems, while fostering team talent and professional growth.
In this role, you will partner with a cross-functional team to design, develop, test, deploy, and support AI software components. You will leverage various AI technologies and contribute to the long-term roadmap of foundational AI systems at Capital One, focusing on building responsible and scalable solutions.
As a Senior Data Scientist, you'll lead model-driven projects aimed at extracting insights from customer communications, utilizing generative AI, deep learning, and large-scale data annotations to enhance the customer experience. Collaborate with various teams to build effective machine learning solutions while communicating with stakeholders to align data insights with business goals.
As a Principal Associate in Data Science at Capital One, you will work on cutting-edge projects using transformer models, large language models, and multi-modal technologies to analyze unstructured data sources like call transcripts and document images. You will lead data annotation projects, collaborate with business stakeholders, and leverage a variety of technologies including Pytorch, Hugging Face, and AWS.
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As a Principal Data Scientist, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Python and PyTorch for data analysis and model deployment, while leveraging your expertise in machine learning and statistical modeling.
As the Manager of Data Scientist for Generative AI Systems, you will train and customize large language models for applications such as dialogue and image processing. Collaborating with a cross-functional team, you will leverage various technologies to extract insights from large datasets and contribute to research for top NLP conferences.
The AI Platform Engineer will design and implement AI/ML solutions to enhance Bilt's rewards program, develop predictive models, create ML pipelines, build recommendation systems, and collaborate with various teams to identify AI opportunities.
Manage and mentor a team of AI engineers, drive ML project timelines, collaborate with product management, identify risks, and offer innovative solutions while fostering an inclusive team culture.
The Product Manager II will oversee the full product development lifecycle, making data-driven decisions to enhance consumer online search experiences using machine learning and AI. They will work collaboratively with engineering, UX, and stakeholders to define product strategy, monitor success, and iterate based on performance metrics.
The Manager of AI/ML Engineering will lead machine learning strategy development, oversee high-performing teams, guide innovative model deployment, and ensure the integration of AI/ML into business systems. The role requires technical expertise, team management, and the ability to build partnerships with various stakeholders.
As a Machine Learning Engineer at Snap Inc., you'll create and evaluate LLM models for text and multimodal challenges while promoting new features and ensuring code quality. You will work collaboratively to solve complex problems and drive value for users and advertisers.
As a Senior Data Scientist focusing on AI research, you will conduct innovative research in generative AI and machine learning, lead the integration of advanced AI features in Datadog's products, mentor junior team members, and actively publish findings in the field.
As a Product Designer II at Bits AI, you will design the Datadog chatbot, collaborating with product managers, engineers, and designers to enhance AI experiences. You will utilize design tools for prototyping and communicate design concepts while ensuring alignment with engineering for production readiness.
Building AI-assisted tools to enhance developer productivity by generating tests, fixing bugs, and improving performance. Collaborating with users, designers, and PMs on cutting-edge features. Integrating capabilities with other teams and iterating on product development. Passionate about Generative AI and product development.
As a Senior Data Scientist, you will work on various projects involving the fine-tuning, training, and deployment of large-scale language models. You will collaborate with engineers and data scientists to enhance the Datadog platform, develop AI-driven features, and participate in AI research initiatives while maintaining robust infrastructure and providing data insights.
As a Python Software Engineer at Trumid, you will collaborate with engineers and data scientists to build core analytics infrastructure, optimize trading systems, and enhance real-time data processing capabilities. You will also lead the software development lifecycle and mentor junior engineers while solving complex problems in a fast-paced, dynamic environment.
As an Implementation Manager at Intenseye, you will oversee the deployment of SaaS solutions for enterprise customers, ensuring projects are managed effectively from initiation to completion. You will coordinate activities, manage timelines, solve technical issues, and build strong relationships with customers and partners to guarantee their success with the platform.
The Senior Customer Success Manager will engage with global enterprise customers to ensure successful onboarding, implementation, and ongoing satisfaction with Intenseye's SaaS platform, focusing on revenue retention, upsell opportunities, and customer relationships.
The Senior Product Manager, AI will manage the design and implementation of a new LLM-based experience, working alongside engineering, data science, and product teams. Responsibilities include defining UX for next-generation products, collaborating with various stakeholders, and managing product roadmaps for early-stage development.
As a Senior Software Engineer at Boomi, you will design and develop AI-driven solutions using cloud services and advanced technologies. Responsibilities include collaborating in an Agile team, building scalable solutions, integrating AI technologies, resolving production issues, and mentoring team members.
The Manager of Talent Acquisition & Automation will drive recruitment strategies and operations for BARK, focusing on attracting diverse talent passionate about dogs. This role involves developing innovative recruitment programs, improving processes with technology like AI, and enhancing overall candidate and hiring manager experiences.
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