Job Summary: Ai Squared is currently looking for a Software Engineer to join their growing team.
The Software Engineer will build computer software systems, participating in the design process from beginning to end. 
What You’ll Do:
  • Design and develop computer software systems for various industries including medical, industrial, military, or communications.
  • Create flowcharts and other documentations to identify requirements for software and to propose possible solutions.
  • Apply computer science, engineering, and mathematical analysis to the software development process
  • Communicate with customers and clients to establish maintenance procedures for software systems.       
  • Evaluating and understanding large production deep learning systems composed of dozens of models.
  • Building frameworks to audit the performance of deep learning systems and to understand how well they are aligned with their design criteria.
  • Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating. 
  • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field 
  • Hands-on experience implementing models using scikit-learn, TensorFlow, or PyTorch 
  • Familiarity with version control, containers, MLOPS 
  • Familiarity with at least one cloud platform 
  • Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis 
  • Strong Software development experience through hands on coding in Python 
  • Detailed knowledge of machine learning concepts and models 
  • Detailed knowledge of modern deep learning models including but not limited to FCN, CNN, RNN, Autoencoders, Transformers, and Language models like BERT, GPT, or T5 
  • Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving 
  • Good communication skills to convey sophisticated topics in straightforward terms
  • A drive to solve hard problems at scale 

Preferred Skills

  • Master’s degree in computer science, Data Science, Machine Learning, or related technical field 
  • Familiarity with Learning to Rank models 
  • Experience with recommender systems, especially deep learning-based recommender systems 
  • Experience with content moderation systems 
Who We Are?
Accelerating the path of Machine Learning capabilities into the hands of the end user is a massive bottleneck preventing ML's full value being realized. As data scientists ourselves, we're frustrated by the time and resources involved in integrating ML into browser-based workflows. Our model integration framework solves this problem by eliminating the need for a bespoke model endpoint – just drag and drop a model file into our integration framework and visualize your model's inferences instantly!

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