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Top Software Engineer Jobs in NYC, NY

156+ Job Results
13 Days Ago
New York, NY
55,000 Employees
201K-230K Annually
7+ Years of Experience
55,000 Employees
201K-230K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team of developers and work on diverse technology projects focused on machine learning and full stack systems. Collaborate with product managers to deliver cloud-based solutions for financial empowerment. Use programming languages and tools like Java, Python, SQL, Ruby, Go, Docker, Kubernetes, Ansible, Terraform, and AWS.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
13 Days Ago
New York, NY
55,000 Employees
134K-153K Annually
3-5 Years of Experience
55,000 Employees
134K-153K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. Partner with Technology, Machine Learning, and other teams to integrate semantic technology into products and services. Communicate and advocate the value of ontology and semantics across the business. Develop standards and guidelines for ontology, data modeling, and data standardization. Troubleshoot and manage projects as assigned.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
13 Days Ago
New York, NY
55,000 Employees
165K-189K Annually
3-5 Years of Experience
55,000 Employees
165K-189K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will work collaboratively with product and data science teams, inform ML infrastructure decisions, write and test application code, and automate deployment processes.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
13 Days Ago
New York, NY
55,000 Employees
165K-200K Annually
3-5 Years of Experience
55,000 Employees
165K-200K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Join Capital One as a Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models at scale. Work with a team to design and implement key API products, enabling real-time customer-facing applications and enhancing user experiences.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
13 Days Ago
New York, NY
55,000 Employees
201K-230K Annually
3-5 Years of Experience
55,000 Employees
201K-230K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will work closely with cross-functional teams to develop and implement machine learning applications at scale. Responsibilities include model training, infrastructure decision-making, and ensuring high availability and performance of ML applications.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
13 Days Ago
New York, NY
55,000 Employees
201K-230K Annually
5-7 Years of Experience
55,000 Employees
201K-230K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team of developers in building and delivering innovative technology solutions for Capital One, utilizing a variety of programming languages, cloud services, and open source frameworks.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
13 Days Ago
New York, NY
55,000 Employees
165K-189K Annually
3-5 Years of Experience
55,000 Employees
165K-189K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will collaborate with cross-functional teams to develop and implement ML applications at scale, leveraging cloud-based architectures and continuous integration best practices. The role requires at least 4 years of programming experience with Python, Scala, or Java, as well as expertise in designing data-intensive solutions and working with ML frameworks like scikit-learn and PyTorch.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
14 Days Ago
New York, NY
55,000 Employees
165K-189K Annually
5-7 Years of Experience
55,000 Employees
165K-189K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Seeking a Senior Software Engineer, Backend at Capital One to collaborate with Agile teams, design and implement technical solutions, and drive a major transformation within the company by marrying data with emerging technologies.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
14 Days Ago
New York, NY
55,000 Employees
165K-189K Annually
5-7 Years of Experience
55,000 Employees
165K-189K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Collaborate with Agile teams to design, develop, test, and support technical solutions using full-stack development tools and technologies. Stay updated with tech trends, experiment with new technologies, and mentor team members. Deliver cloud-based solutions for financial empowerment. Utilize a variety of programming languages and AWS tools.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
14 Days Ago
New York, NY
55,000 Employees
235K-268K Annually
7+ Years of Experience
55,000 Employees
235K-268K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a portfolio of diverse technology projects and a team of developers, share passion for tech trends, collaborate with product managers to deliver cloud-based solutions, utilize various programming languages and technologies.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+51 More
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