Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should possess a Master's degree or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field, and demonstrate a strong foundation in 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 understanding of linear algebra, probability, and statistics, along with knowledge of data structures and algorithms.
Responsibilities
As an applied scientist, you will build, optimize, and deploy machine learning models to solve complex problems, read and implement model improvements from research papers, propose model improvements, conduct benchmarks, perform statistical analysis, draw conclusions on the impact of optimizations, and present findings to the team. You will also think about human-computer interfaces to make machine learning models accessible and run regular benchmarks.
Skills
Python
PyTorch
TensorFlow
JAX
Linear Algebra
Probability
Statistics
Data Structures
Algorithms
Machine Learning
UiPath
Robotic process automation software solutions
About UiPath
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.
Key Metrics
New York City, New YorkHeadquarters
2005Year Founded
$1,936.8MTotal Funding
IPOCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees