Senior Machine Learning Engineer (R&D)
200000 - 250000 USD per year
Company:Red Cell Partners
Location:USA, EST, PST
Languages:English
Seniority level:Senior, 5 years of experience in software development, 3 years of experience building production-quality machine learning systems and infrastructure, 2 years of experience with ML frameworks
Experience:5 years of experience in software development, 3 years of experience building production-quality machine learning systems and infrastructure, 2 years of experience with ML frameworks
Skills:
Backend DevelopmentPythonSoftware DevelopmentSQLFrontend DevelopmentFull Stack DevelopmentJavascriptMachine LearningMLFlowPyTorchReact.jsAlgorithmsData engineeringData StructuresRustSparkTensorflowPrototyping
Requirements:
Bachelor’s degree in Computer Science or equivalent practical experience. 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark) Proficiency in JavaScript, React, and other web technologies for front-end development. Experience with backend languages (preferably Python or Rust) and system design. 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs).
Responsibilities:
Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs. Design, implement, test, and debug code across front-end, back-end, and data pipelines. Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions. Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development. Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment. Establish best practices for reliable and reproducible ML model development. Contribute to the creation of scalable, high-performance infrastructure for AI-driven products.
