Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, with a strong preference for a Ph.D., and demonstrate a deep understanding of Python and modern machine learning libraries such as PyTorch, TensorFlow, or JAX. They should have the ability to implement models from academic papers like ICML, ICLR, NeurIPS, and a solid foundation in linear algebra, probability, and statistics, along with knowledge of data structures and algorithms.
As a Senior Applied Scientist, you will build, optimize, and deploy machine learning models to solve complex problems, read and implement research-based model improvements, propose model enhancements, conduct regular benchmarks and statistical analysis, present findings to the team, and think about human-computer interfaces to make machine learning models accessible. You will also be responsible for scaling up models and ensuring they are reliable and efficient in production.
Robotic process automation software solutions
UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.