Machine Learning Engineer I

at Bitso

Job description

Working At Bitso

We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and accelerate progress inside and outside of our organization.

To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.

Your Purpose

As a Junior Machine Learning Engineer, your main goal is to help build and support advanced analytics products that bring value to our users across different teams like Product, Engineering, Finance, and Operations. You’ll do this by learning and applying best software practices. You’ll assist in bridging the gap between advanced analytics concepts and practical software development within the machine learning (ML) team. You’ll also get the chance to contribute to the development of machine learning models that directly impact our users.

You’ll be an important part of the MLOps team, learning about and contributing to best practices throughout the entire model lifecycle. This includes helping to enable libraries for efficient data use, contributing to defining features in our feature store, assisting with model documentation, supporting the maintenance of serving architectures, helping with CI/CD pipelines, and monitoring the performance of our ML pipelines.

Your contributions will help us work effectively with other engineers on the technology team, learning how to translate ML model requirements into scalable and maintainable software solutions. Your developing expertise will be key in helping to automate processes, improve efficiency, and maintain the reliability of our ML models.

Reports To

Head of ML

Who You Are

  • Have a degree in a quantitative field such as mathematics, computer science, data science, or engineering.
  • Solid understanding of machine learning fundamentals, including common algorithms and concepts (e.g., supervised/unsupervised learning, regression, classification).
  • Experience in DevOps/MLOps and/or tools for automatization for CI/CD.
  • Proficiency in SQL.
  • Proficiency in Python and relevant ML libraries.
  • Basic understanding of cloud computing concepts, preferably with AWS.
  • Understanding of software engineering best practices, including version control (Git), code reviews and automatic testing.
  • Understanding parallel programming techniques.
  • Basic understanding on Data ingestion and Data Engineering techniques.

Nice to have

  • Experience in AWS Cloud Services is a plus.
  • Experience with Terraform is a plus.
  • Experience in Databricks and MLflow is a plus.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Experience with Spark is a plus.

What You Will Do

  • Collaborate with senior engineers to understand project requirements and design solutions, and with data scientists to understand model requirements and implementation details.
  • Learn and help the design and development of CI/CD pipelines for ML models, ensuring reproducibility, scalability, and reliability.
  • Assist on the creation and maintenance of model serving architectures.
  • Learn and apply Infrastructure as Code (IaC) principles using Terraform to manage cloud resources.
  • Learn to create libraries that enable efficient modeling processing at any stage of the model lifecycle.
  • Participate in code reviews, testing, and documentation of ML pipelines.
  • Research and stay up-to-date with the latest advancements in AI and machine learning.
  • Troubleshoot and debug issues related to ML models and infrastructure.

Research in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we’re looking for. If this role excites you but you don’t match every point in the description, we still want to hear from you.

#LI-Remote

Who We Are

With over 9 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products.

When we hire people for our team, we specifically test for the following traits in addition to our cultural values:

  • Mission-Driven: We seek individuals who are passionate about crypto and Bitso’s mission and resilient in facing industry challenges

  • High Sense of Urgency: We prioritize candidates who demonstrate a high sense of urgency and responsibility.

  • Exceptional Hard Skills: We seek individuals who possess exceptional skills in their respective fields, with no room for mediocrity.

  • Self-Management: We look for individuals who can independently manage their work, career, and professional development.

Compensation & Benefits

At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products.

So for those willing to commit, adapt and pioneer the most important change of the century we offer:

  • Me Time program, including unlimited paid time off.
  • Remote-first work environment.
  • Employee Stock Option program.
  • Zero trading fees through our Bitso Alpha app.
  • Extended Family Leave Policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave.
  • Premium health, dental and life insurances in Mexico, Gibraltar, Colombia, USA, Brazil and Argentina.
  • Monthly stipend for gym memberships, relaxation activities, sports equipment, cooking classes, books, entertainment and more.

Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!

  • These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
  • To see our Privacy Policy please click here.
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