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Neatleaf over 1 year ago
datadata🇺🇸 usa only🇺🇸 usa only
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We are looking for a passionate Software Engineer (Robotics, Machine Learning and/or Tooling) to design, develop and launch innovative software solutions, based on a unique and fast growing dataset. Responsibilities include gathering user requirements, defining system functionality and writing code in various languages. Our ideal candidates are familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. Ultimately, the role of the Software Engineer is to build high-quality, innovative and fully performing software that complies with coding standards and technical design.

 

Responsibilities:

  • Execute full software development life cycle (SDLC)
  • Write well-designed, testable code
  • Research and implement appropriate ML algorithms and tools
  • Design machine learning systems
  • Document experiments and use MLops best practices
  • Integrate machine learning components into existing cloud infrastructure

Requirements

Preferred Qualifications:

  • Bachelor or higher degree in Computer Science, Engineering or relevant field with at least 5 years of industrial experience
  • Proven work experience as a Data Scientist, ML Engineer Software Developer
  • Ability to develop software in Python using Pytorch and/or Tensorflow
  • Proficiency in software engineering tools
  • Proficiency deploying models to the cloud and leveraging cloud resources for training
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to work in a team and drive topics independently

Benefits

  • Competitive compensation package including an Employee Stock Option Plan
  • Health Care Plan (Medical, Dental & Vision)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Flat hierarchies and open feedback culture
  • Steep career opportunities through continuous growth
  • Flexible working hours and work from home support
  • Work with highly talented engineers and experts in their fields
  • You can shape the company culture as well as the business decisions with your know-how