Top Hybrid Software Engineer Jobs in New York City, NY

The Lead AI/ML Engineer will analyze business requirements and design, develop, and deploy AI solutions. Responsibilities include leading AI/ML initiatives, building end-to-end automated pipelines, researching AI technologies, and mentoring team members while ensuring ethical AI practices.

The Lead, Data Frameworks and Quality Assurance manages the design and maintenance of data systems and engineering frameworks, ensuring quality standards and operational excellence. This role involves overseeing DevOps practices, developing testing tools, mentoring team members, and ensuring compliance with data governance standards.

The Lead Analytics Engineer will design and develop robust data models while collaborating with business and technical teams. Responsibilities include data quality testing, building trust in data, training users on BI tools, and ensuring high-quality outputs through code reviews and adherence to best practices. This role sits at the intersection of business insights and data engineering.

As a Senior/Staff iOS Software Engineer at Duolingo, you will develop, release, and maintain native iOS applications, primarily using Swift. Responsibilities also include collaborating with product design and backend teams, and mentoring junior engineers. You will work on various teams, such as Longform Content, Monetization, and Music, to enhance learning experiences for users globally.

As a Senior Technical Account Manager, you'll manage strategic relationships with key enterprise clients, understand their business needs, provide technical guidance, coordinate projects, and gather insights to drive client growth and satisfaction with payments solutions.

The Staff Electrical Engineer will lead electrical engineering projects, design stimulation infrastructure, code software for user interfaces and result analysis tools, troubleshoot systems, and mentor team members. Responsibilities include managing vendors, documenting product development, and contributing to intellectual property efforts.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning models for various applications such as predictive analytics and anomaly detection. You will collaborate with teams to understand business needs, optimize machine learning models, and maintain pipelines while keeping up-to-date with advancements in the field.