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Machine Learning Engineer

Company: Diveplane
Location: Raleigh
Posted on: November 26, 2022

Job Description:

Diveplane, headquartered in Raleigh, NC, is a technology startup dedicated to keeping humanity in Artificial Intelligence. With the proliferation of AI tools, there has never been a more critical time to support the ethical use of technology and data. We believe in responsible AI, meaning machines ought to preserve, amplify, and empower the best intentions of those that use them. Our solutions are explainable, auditable, and editable. We are a small but mighty team, aiming to fundamentally change the Artificial Intelligence landscape for the better.We are looking for a Machine Learning Engineer to work with our talented team on cutting-edge technology to enable groundbreaking machine learning products. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we would like to meet you.Requirements

  • Researching, designing, and developing machine learning systems, algorithms, and tools
  • Designing and running machine learning tests and experiments
  • Recommend best approaches to leverage ML software to tackle real-world problems
  • Communicate and work with software engineering, infrastructure, and quality assurance teams
  • Study and transform data science prototypes into production software
  • Select appropriate datasets and data representation methods
  • Perform statistical analysis and fine-tuning using test results
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field
  • Local to the Raleigh-Durham area in North Carolina or ability to relocate Qualifications
    • BS in computer science, mathematics, or similar field; MS is a plus
    • Experience applying machine learning and advanced statistics techniques to solve problems
    • Experience with all aspects of feature engineering, including interviewing subject matter experts,feature transformation, feature evaluation, and feature selection
    • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
    • Understanding of data structures, data modeling, and software architecture
    • Knowledge of math, probability, statistics, and algorithms
    • Knowledge of combinatorial optimization, probability theory, information theory, topology,or kernel methods is a plus
    • Ability to write scalable, high quality code in Python and one of C++, JavaScript, Lisp/Scheme, or R
    • Good writing and communication skills
    • Experience with containerizing production level software and deploying it is a major plus
    • Relational database experience is a major plus
    • Approachable, friendly demeanor
    • Ability to work in a team and willingness to accept criticism, give criticism, and justify reasoningon either end of an argument
    • Outstanding analytical and problem-solving skills You might find yourself contributing to our platform if you...
      • Understand math, probability, statistics, and algorithms in general
      • Read and prototype machine learning research for fun
      • Have a breadth of knowledge in machine learning, artificial intelligence, mathematics, computerscience, and statistics
      • Read graduate level mathematics books by the pool

Keywords: Diveplane, Raleigh , Machine Learning Engineer, Engineering , Raleigh, North Carolina

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