Machine Learning Engineer

Pipefy

Brazil / Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/02/2021
  • Website: pipefy.com
  • Company Address: 814 Mission Street 6th Floor, San Francisco, CA, 94103

About Pipefy

Pipefy is the Work Management platform. With our tool, anyone can take control of their daily work and make a greater impact. Our solution allows you to streamline and automate any business process on your own – from employee onboarding to customer service to agile development.

Job Description

We are a global SaaS company that offers a business process management tool that empowers every "doer" to organize and control their work in a single place, streamline and automate any process, without a single line of code. Everyone at Pipefy is part of a larger movement that empowers professionals from all over the world to drive great changes within their organization. We strive to build and maintain a unique corporate culture that makes our employees excited to come to work each day. People First, Moonshot, 10x execution and Radical Candor are our most important values

Going back to the very first thing we said, you’ll be responsible for empowering users to actually make the productivity revolution happen in their companies.

As a Machine Learning Engineer at Pipefy, your mission is to solve our users’ problems - sometimes before they even happen! It can be programming a new feature, polishing existing features, supporting a team member, giving feedback, or solving a bug, your work will be an essential part of our engine.

You'll have the opportunity to conduct and take part in experiments, make suggestions to improve our architecture and our product, and to use tons of data to make the best decisions.

Since we are fully remote, you'll meet and work with people from all around the world.

  • Develop and curate an Algorithm deployment ecosystem, applying reusable features and creating a scalable and user friendly structure to help streamline the delivery of new features to our end users.
  • Develop new AI based features and products from start to finish: through conception, research, implementation, and maintenance, as well as improve existing ones;
  • Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability, understanding business objectives and developing strategies 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;
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Defining validation strategies, feature engineering to be done on a given dataset on data augmentation pipelines
  • Training models and tuning their hyperparameters
  • Deploy ML models to production, caring for a robust ecosystem and designing strategies to overcome any challenges on performance, quality and scalability;
  • You'll help improve performance, scalability and reliability of our components so that Pipefy is always available and at the top of its game.
  • Work alongside our Product Development team to find out the best way to solve our customers’ problems - then work on making that solution happen!
  • Share knowledge with the team and learn together. We believe knowledge is much more valuable when shared, so we’re always learning and teaching.
  • Always put people first: Our main goal is to help users and make sure their experience with Pipefy is exceptional. We don’t settle for good, we aim to be extraordinary.
  • Problem-solving: Identify the issue, analyze the causes, generate a set of alternatives, evaluate the best solutions, assess the effectiveness.
  • Ability and willingness to learn: You’ll teach yourself and learn new things from your colleagues every day;
  • Speed in prioritizing and making decisions: Things change very fast in our environment so we need you to think fast to identify, prioritize and make decisions on your own;
  • Data orientation: At Pipefy, we’re always looking for ways to improve our work and we do so by analyzing and interpreting data. Things that are not measured can’t be improved, so we need you to be data-obsessed.
  • Keep it Simple: Simple and straightforward solutions are our antidote of choice to the poison of over-engineering.
  • Business Oriented: Your decisions and what you build impact our business. Your choices must be focused on what is necessary for us to achieve our goals instead of choosing what is cool or in the hype of technology.
  • Experience building a strong backend: We need you to understand how each and every part of a complex system fit together— literally everything, from the user interface to the data model.
  • Languages: Ruby, Go, Elixir, React Native and Javascript, Kotlin and Swift.
  • Frameworks: React, Rails (we are not looking for framework developers! We believe that frameworks are important but, more important is to have a really good foundation on computer science)
  • Databases: Postgres, Redis, ElasticSearch.
  • Cloud: AWS, Docker, Elastic Beanstalk, S3, SQS, SNS, Lambda.
  • A fast-paced environment full of enormous challenges and the possibility to create a global brand.
  • All the tools you might need to do great work (We’ll spare no expense to make you feel ready to overcome all these challenges).
  • The ability to be part of ambitious projects.

Check out our great benefits pack on https://www.pipefy.com/careers/.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.