Idoven is hiring a
ML Engineer

Summary

IDOVEN is a health tech startup that uses AI to prevent cardiac disease. They are seeking an experienced ML Engineer to design machine learning systems, research and implement algorithms, select data sets, identify differences in data distribution, transform and convert prototypes, run tests, improve models, extend libraries, develop apps according to product requirements, and contribute to the JAX, Tensorflow, and/or Pytorch ecosystems. The company offers personal and professional growth, top tech equipment, remote work, learning opportunities, flexible remuneration, health insurance, team events, and more.

Requirements

• Advanced math and statistics skills, including linear algebra, calculus, and Bayesian statistics
• Advanced computer science skills
• Strong analytical, problem-solving, and teamwork skills
• Software engineering skills
• Professional experience in data science
• Coding and programming languages: Python, C++, C, and CUDA
• Experience in working with ML frameworks
• Experience working with ML libraries and packages
• Understand data structure, data modelling, and software architecture
• Deep knowledge of computer architecture
• Comfortable working in English, Spanish is not a must-have
• Provide your GitHub/GitLab/Bitbucket account to check your previous work
• You contribute to JAX, Tensorflow, and/or Pytorch ecosystems

Responsibilities

• Designing Machine Learning systems
• Researching and implementing machine learning algorithms and machine learning tools from scratch
• Selecting appropriate data sets to validate our libraries
• Picking appropriate data representation methods
• Identifying differences in data distribution that affects model performance
• Transforming and converting data science prototypes
• Running machine learning tests
• Using results to improve models
• Training and retraining systems when needed
• Extending machine learning libraries, working at a low level, and replacing critical components
• Developing machine learning apps according to product requirements

Benefits

• Personal and professional growth
• Top tech equipment
• Unlimited remote working environment
• Learning and development opportunities and training budget
• Flexible Remuneration
• Health Insurance
• Regular team events and Thursday happy hours