Machine Learning Engineer

Industry: Technology
Company size: 11-50

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Job description

A US-based company that is leveraging the power of technology to help businesses solve problems in FinTech, Content, and SalesOps, is looking for a Machine Learning Engineer. The engineer will help the team to create artificial intelligence products related to Ecommerce. The company's advanced technology enables businesses to run a data-driven diagnosis and develop the right workflow to solve complex challenges. This will be a full-time, long-term position that requires some overlap with the PST time zone. 


Job Responsibilities:

  • Shape and build efficient self-learning applications
  • Design and develop machine learning and deep learning systems
  • Run machine learning tests and experiments
  • Implement appropriate ML algorithms and tools
  • Extend existing ML libraries and frameworks
  • Perform statistical analysis and fine-tuning using test results

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant machine learning engineering experience
  • Extensive experience working with Machine Learning, Python, and Java
  • Nice to have some knowledge of Keras, PyTorch, and Scikit-learn
  • Solid understanding of data structures, data modeling, and software architecture
  • Excellent debugging and analytical skills
  • Should possess good communication skills and fluency in English

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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