Location: New York,NY, USA
ML Applications Software Engineer Remote - United States $180,000-$200,000 Base Salary + Equity + Benefits My client is supporting large-scale companies and organizations in making smart and faster business decisions. They have developed and utilized technology leveraging AI that can be easily understood by analysts and business leaders. The platform enables organizations to process complex data seamlessly through their patented software. With sizeable funding and strong public endorsement from their clients, this organization is a standout in the industry. THE ROLE - Develop and maintain scalable, high-performance software applications for the machine learning team. - Integrate and deploy machine learning models onto the platform, ensuring seamless functionality and user experience. - Collaborate with cross-functional teams, including ML engineers and data scientists, to translate requirements into robust software solutions. - Ensure the reliability, scalability, and security of software applications through thorough testing and continuous improvement. - Contribute to the design and architecture of software systems, with a focus on performance optimization and code quality. - Work on the end-to-end lifecycle of software development, from design to deployment and maintenance. YOUR SKILLS AND EXPERIENCE The successful ML Software Engineer will likely have the following skills and experience: Requirements - Bachelor's degree in Computer Science, Software Engineering, a STEM field, or a related discipline. - Strong experience in software development with a focus on building scalable applications. - Proficiency in Python and experience with other programming languages such as Java, C++, or Go. - Experience deploying software in production environments, with a solid understanding of CI/CD pipelines. - Background in developing applications tailored to machine learning products and solutions. - Ability to focus on software engineering aspects, including architecture, design patterns, and code optimization. - Strong problem-solving skills with a keen eye for detail. - Excellent communication skills and the ability to work effectively in a remote team environment.