Remote ML/data algorithm engineer jobs

We, at Turing, are looking for talented remote ML/data algorithm engineers who will be responsible for the design and integration of machine learning software to automate predictive models that offer real-time solutions. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

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Job description

Job responsibilities

  • Use exceptional mathematical skills to perform computations and work with the algorithms involved in programming
  • Experiment innovative ideas for new systems and evaluate, maintain and upgrade old systems
  • Solve complex problems with multi-layered data sets and optimize existing machine learning libraries and frameworks.
  • Use exceptional mathematical skills to perform computations and work with the algorithms involved in programming
  • Experiment innovative ideas for new systems and evaluate, maintain and upgrade old systems
  • Solve complex problems with multi-layered data sets and optimize existing machine learning libraries and frameworks.
  • Develop cost effective scalable ML systems and innovative algorithm solutions
  • Manage design, development and deployment of scalable, high volume and real time system
  • Clean documentation of the machine learning processes

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Electric Engineering, Physics, Statistics, Applied Mathematics (or equivalent experience)
  • 3+ years of experience ML engineering (rare exceptions for highly skilled developers)
  • Solid understanding of machine learning evaluation metrics and best practices
  • Bachelor’s/Master’s degree in Computer Science, Electric Engineering, Physics, Statistics, Applied Mathematics (or equivalent experience)
  • 3+ years of experience ML engineering (rare exceptions for highly skilled developers)
  • Solid understanding of machine learning evaluation metrics and best practices
  • Detailed knowledge of data structures and algorithms
  • Extensive knowledge of ML frameworks and libraries
  • Experience in developing and debugging multithreaded and/or parallel applications
  • Familiar with UNIX environment and Linux SysAdmins
  • Proficiency in programming languages such as Python, R, etc.
  • Significant knowledge of messaging libraries including, Kafka, RabbitMQ, ZeroMQ, etc.
  • Strong competence with infrastructure as code like Terraform, Cloudformation, etc.
  • Experience in developing and deploying machine learning services
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Understanding of MLOPs technologies and workflow
  • Ability to work with large, complex datasets
  • Ability to articulate at a system level
  • Understanding of MLOPs technologies and workflow
  • Ability to work with large, complex datasets
  • Ability to articulate at a system level
  • Knowledgeable of explaining complex process to non-technical audience
  • Keen attention to detail
  • Knowledge of cloud computing environments
  • Great technical, analytical and problem-solving skills

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Leadership

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.

Equal Opportunity Policy

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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