Senior Machine Learning Engineer (BB-29367)

Encontrado en: Neuvoo CR


Company Overview

We are Proximity, a Software Development Company. Our main operation is based on San Jose, Costa Rica, and we have a second delivery center in Lima, Peru. We focus on providing specialized outsourcing technology services to clients in the USA and Canada, looking for long term, win-win relationships where we can become an extension of your organization.

Job Summary

We are looking for somebody who is both excited by the possibility of stepping into a new machine learning startup as a self-starter and a quick learner. The candidate would not only be a part of development, but an integral part of the team, contributing to ideas and IP of a web-scale Computer Vision application. Everyone on the engineering team contributes to the full product vision.

Consulting with our ML advisor, you will be responsible for building and productionizing new models as well as expanding upon existing models. You must have the ability to implement models in production to solve actual business problems. You must have a comfortable understanding of Docker, and Dockerizing microservices on GPUs, interacting with our frontend React code, optimizing our pipelines, and deploying and maintaining on AWS.

Responsibilities and Duties

  • Identify, acquire, generate, process and/or prepare relevant datasets.
  • Research, develop and prototype AI/DL/ML algorithms to solve challenging computer vision tasks

  • Validate algorithms and/or models in a mathematically disciplined and statistically meaningful manner.

  • Productionize algorithms to solve business problems.

  • Develop clear, commented and understandable code for integration into production systems.

  • Define and document effective domain specific methodologies.

  • Generate and present analysis results and reports tailored to target audience (scientists, software engineers, business strategists, investors, etc.).

  • Collaborate with fellow scientists and software engineers.

  • Collaborate with fellow product engineers to put the AI model in product pipeline and


Qualifications and Skills

  • The candidate must have the ability to implement deep learning algorithms in production for actual business problems.
  • Ideally 5+ years of experience with deep learning and computer vision. Experience with application in a product that has been commercialized.

  • The ability to think at a high level about product strategy and vision.

  • Self-motivated and able to efficiently run with a project without close supervision.

  • The ability to research and develop novel algorithms to solve cutting edge computer vision problems, such as semantic segmentation, object recognition, image/video understanding, product recommendation, Approximate Nearest Neighbor/ KNN indexes, photogrammetry, and SLAM.

  • Strong background in applied mathematics, statistics and probability.

  • Deep familiarity with latest Deep Learning and Computer Vision techniques and libraries.

  • Deep familiarity with Python.

  • Deep familiarity with AWS, Docker.

  • Deep familiarity in handling and processing images.

  • Experience with one or more of tensorflow, keras, and pytorch.

  • Strong skills in written and verbal communication of technical concepts.

Benefits and Perks

  • Medical Insurance (Costa Rica) / EPS (Peru)
  • Work from home
  • Flexible Schedules
  • Snacks, fruit and beverages, all free!
  • Amazing organizational culture
  • Challenging projects using the latest technologies with clients from the US and Canada
  • Ping-Pong table and tournaments.


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