Top Tech Jobs & Startup Jobs in NYC, NY

As a Senior Software Engineer, you will collaborate with Agile teams to design, develop, and support cloud-based solutions that enhance financial empowerment for millions. You will mentor other engineers and engage with tech trends while utilizing multiple programming languages and cloud services.

As a Senior Machine Learning Engineer, you'll design, build, and deploy machine learning applications in an Agile environment, focusing on ML architectural design, infrastructure decisions, and scaling models using cloud technologies. Responsibilities include coding, testing, optimizing data pipelines, and ensuring best practices in model governance while collaborating with cross-functional teams.

As a Senior Software Engineer at Capital One, you'll develop iOS client solutions, collaborate with cross-functional teams, and mentor junior engineers. You will advocate for mobile platform development and influence best practices, ensuring high-quality customer experiences in a fast-paced Agile environment.

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 Lead Software Engineer at Capital One, you will develop iOS client code solutions, collaborate with cross-functional teams, mentor junior engineers, and advocate for mobile platforms. You will also ensure adherence to engineering best practices and actively participate in agile ceremonies.

The Senior Manager of Software Engineering will lead a portfolio of technology projects, oversee a team of developers, and create cloud-based solutions. They will collaborate with product managers and mentor junior members while staying up-to-date with tech trends and coding when necessary.

As a Principal Associate, Data Scientist in Fraud Intelligence, you will build and manage machine learning models, leverage technologies such as Python and AWS to analyze data, and work with a cross-functional team to protect customers from fraud.