Qualifications
• Proven experience in software engineering, particularly in machine learning infrastructure.• Proficiency in programming languages such as Python, Java, or C++.• Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch).• Strong understanding of cloud platforms (AWS, Azure, or Google Cloud).• Excellent problem-solving skills and the ability to work in a team-oriented environment.• A Bachelor's or higher degree in Computer Science, Engineering, or related fields.
About the job
Join Decagon as a Senior Software Engineer specializing in Machine Learning Infrastructure. In this pivotal role, you will be responsible for designing and optimizing systems that support machine learning models and applications. Your expertise will help drive innovation and efficiency in our ML pipelines, ensuring that our algorithms are fast, scalable, and reliable.
You'll collaborate with cross-functional teams to implement cutting-edge solutions that enhance our product offerings. If you are passionate about advancing machine learning technologies and thrive in a dynamic environment, we want to hear from you!
About Decagon
Decagon is at the forefront of technology innovation, dedicated to using data and machine learning to make impactful decisions. Based in the heart of San Francisco, we foster a culture of creativity and collaboration, empowering our employees to push boundaries and achieve excellence.