Developer/Engineer

Developer/Engineer
Location: Brooklyn, NY
Employment Type: Full-Time
Schedule: Monday through Friday – Standard Business Hours
Salary: Based on Experience

An early-stage startup is seeking a highly skilled Machine Learning Platform Engineer to design, build, and maintain the core infrastructure powering predictive models and machine learning systems. This is a high-impact opportunity to help establish the technical foundation of a growing company while working on scalable machine learning and data platforms.

The ideal candidate is a strong engineer with experience building production-grade ML infrastructure, deploying models at scale, and creating reliable systems that support the full machine learning lifecycle.

• Design and build scalable machine learning infrastructure and prediction platforms
• Develop systems for training, deploying, monitoring, and managing machine learning models in production
• Create tools and workflows that support data scientists and machine learning engineers
• Build and maintain MLOps pipelines to streamline model development and deployment
• Develop infrastructure for model monitoring, performance tracking, and continuous improvement
• Collaborate with engineering and data teams to optimize platform performance and reliability
• Design scalable data processing systems capable of handling large datasets and real-time workflows
• Implement best practices for cloud architecture, automation, security, and system reliability
• Evaluate and integrate emerging technologies and tools that improve machine learning operations

• Strong software engineering experience with advanced proficiency in Python, Go, or Java
• Deep experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Strong hands-on experience with cloud platforms including AWS, Google Cloud Platform (GCP), or Microsoft Azure
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with large-scale data processing tools including Spark, Kafka, and SQL/NoSQL databases
• Experience building and maintaining production machine learning infrastructure
• Strong understanding of software architecture, scalability, reliability, and performance optimization
• Ability to work independently in a fast-paced startup environment