Senior MLOps Platform Engineer

New York, NY, United States • $160k - $200k • 0.03% - 0.06%

Entrupy


Role Location

  • New York, NY, United States

Compensation

  • $160k - $200k
  • 0.03% - 0.06%

Employees

51 - 100 people

Address

205 E 42 Nd St Fl 16
New York, NY, 10017, US

Tech Stack

  • PostgreSQL
  • Redis
  • AWS
  • Containerization
  • iOS Development
  • Tensorflow
  • Python
  • Docker
  • Scikit-Learn
  • DynamoDB
  • Hardware
  • Node.js
  • Vue.js
  • Flask
  • PyTorch
  • OpenCV

Role Description

Location: New York, NY

About Entrupy:

Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods.

Entrupy’s solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil.

Entrupy’s solutions in market:

  • Entrupy Luxury Authentication
  • Entrupy Sneaker Authentication
  • Entrupy Fingerprinting

Role description:

Entrupy is seeking a senior engineer to work on our unified MLOps (machine learning operations) platform and associated projects. This role will be based in our New York City headquarters.

Some project areas include:

  • Infrastructure and libraries to define, deploy, run and monitor training and inference jobs
  • Job graph visualization and analytics
  • Providing interfaces and tooling for ML engineers to work with
  • Hybrid cloud server provisioning and automation
  • Internal dashboards and annotation tools
  • Bringing research models and code to production
  • Contribute to best practices and methodology guidelines for data science teams
  • Platform advocacy, training and mentoring

This role will serve as a point of contact with various teams responsible for model delivery: annotation teams, infrastructure engineers, machine learning engineers and product.

Responsibilities:

  • Work with engineering leads to define and build new features and subsystems for our machine learning platform.
  • Build interfaces and tools for researchers, engineers and data teams.
  • Assist research and product teams in use of the platform.
  • Help bring research algorithms into production and scale them alongside their products.
  • Stay in regular communication with research and product teams to understand how the platform can best assist in other teams' objectives.
  • Manage annotation work from first and third-party annotation teams as required.
  • Share feature drafts with internal stakeholders for review and feedback.
  • Participate in code review and contribute to Entrupy's technical standards.
  • Develop and maintain automated testing and contribute to integration testing and rollouts.
  • Collaborate with infrastructure teams to provision services and establish deployment workflows.

Required:

  • At least four years of software development experience.
  • Working knowledge of Python, and solid skills in at least one major backend language.
  • Experience with data pipelines, job schedulers or applied machine learning systems.
  • Generalist with experience in web apps, backend services, and databases.

Good to have:

  • At least six years of software development experience.
  • Prior history of deploying and maintaining machine learning models in production.
  • Experience with low-latency services and performance-sensitive code.
  • Experience with modern front-end SPA frameworks, such as Vue or React.
  • Experience with data visualization or analytics.
  • Experience with WebSockets or other event-driven systems.
  • Experience with cloud infrastructure (AWS, Google Cloud, Azure) and service-oriented architecture. Experience with tools like AWSCloudFormation or Terraform is a plus.
  • Some familiarity with stats or machine learning, though this role is primarily for infrastructure, not algorithms.
  • Previously worked in a startup-like environment.

About Entrupy

Entrupy aims to establish itself as the global standard for authenticating physical goods. We enable businesses and consumers to instantly verify the authenticity of high-valued physical objects, starting with luxury goods (e.g. leather goods and accessories). Our mission is to protect businesses and consumers from transacting in counterfeit goods. Currently in use by thousands of secondary resellers and marketplaces worldwide, Entrupy provides the only scalable technology capable of authenticating high-value products.

Company Culture

  • We act with high professional standards and a sense of integrity
  • We love taking calculated risks, and do not fear making mistakes quickly and cheaply (but seek to avoid making the same mistake twice)
  • We actively foster an environment for our talent to thrive
  • We look at the root cause and come up with scalable, long term solutions
  • We openly support and promote our team members’ differences and similarities
  • We encourage open collaboration and communication across our teams
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