Machine Learning Engineer

  • Remote OK - Worldwide
  • Full-time
  • July 8, 2022
Conditions
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8,000,000 - 12,000,000 JPY /yr
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Apply from Anywhere 👍
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Relocation to Japan 👍
(Overseas visa sponsorship supported)
Requirements
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Language Requirements
Japanese: Not Required 👍
English: Business Level
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Minimum Experience
Mid-level or above

Why we are hiring

We are looking for an expert in machine learning to help us build AI systems to deliver value to our customers. You will work on designing, developing, training, and deploying medium to large-scale deep learning models. 

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

You will primarily work with images (screenshots of web pages and mobile apps) and text. Your work will be mostly related to Computer Vision and Natural Language Processing. Most of the projects are developed in a supervised fashion, some semi-supervised and some in reinforcement learning settings.


Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Writing models from scratch and using off-the-shelf models for solving a given problem.
  • Optimizing model for best performance vs. accuracy trade-off
  • Writing cost-optimized and long-running training pipelines for medium to large models
  • Designing metrics to estimate the model quality
  • Developing pipelines for automatically deployment models to production


Requirements

  • 2+ years of experience as a machine/deep learning engineer
  • Bachelor's degree in computer science, data science, mathematics, or a related field
  • Advanced proficiency in writing code using Python
  • Extensive knowledge of using Deep Learning Frameworks (preferably PyTorch)
  • Comfortable in using a remote Linux server as a primary development environment
  • Ability to speak and write in English fluently


Preferred

  • 3+ years of experience working as a deep learning engineer
  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
  • Experience handling both research and development.
  • Experience working with Containers, Docker, and Kubernetes


Desired personality traits

  • Someone who is passionate about Machine Learning and stays up-to-date with the latest developments in the field
  • A person who understands the building blocks of ML and is able to translate a business problem into an ML problem

Autify, Inc. is a start-up company founded in San Francisco by a team of engineers who were the first Japanese team to graduate from the top US accelerator Alchemist Accelerator. With the mission to increase creativity with the power of tech, we develop and provide Autify, an AI-based software test automation platform.

Markets are changing rapidly, and there is a demand for quick software releases. Agile development has become mainstream; on a global scale, 92% of developer teams adopt agile development, 71% of which aim to release at least once a week. With such a rapid cycle, manual verification is too time-consuming, and there is an urgent need for automation. Our services can solve these critical challenges and make our clients a competitive advantage in software development.

Over 300 companies have begun using their service since its official release in October 2019, and that number is continuing to grow.

QA’s global budget is said to reach over $1 trillion. We are rapidly expanding our service reach internationally to win this vast global market.

Autify’s policies during COVID-19 are as follows:

  • They’ve adopted a policy of working fully remotely (previously they allowed one day a week of remote work)

  • They no longer have a physical Japan office (previously they had one in Tokyo)

View Autify's company page

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Machine Learning Engineer at Autify
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