Posted on 
Feb 20, 2024

Machine Learning Engineer

California, Mexico City
Mid-Senior ICs
Data Science + Analytics, Engineering
Software, Security & Developer Tools

Nixtla is a time series research and deployment company. We provide businesses of all sizes, across all industries, with state-of-the-art forecasting tools that enable them to reduce uncertainty and make data-driven decisions.

Job Description

Nixtla is seeking a Machine Learning Engineer to improve our products. As an ML Engineer, you will work closely with the CTO to work on the architecture design for our ML products and services. You will work on setting good standards on critical design questions around dataset management, experiment tracking, and distributed training infrastructure. You will also develop and review model and application code and deploy state-of-the-art machine learning systems for time series. You should have a strong background in software engineering and machine learning. We work on research problems on a production timeline. You will succeed in this role if you enjoy setting up scalable training systems and infrastructure from scratch and shipping real-world products.

Key Responsibilities

  • Contribute to the development and deployment of machine learning models to production environments
  • Foster a culture of excellence in architecture, coding, and model development
  • Monitor and maintain deployed models and data pipelines
  • Continuously learn and stay up to date with the latest advancements in machine learning engineering

What You Bring To The Team

  • Degree in Computer Science, Machine Learning, Data Science, or a related field.
  • 3+ years experience as an ML engineer/researcher working with modern Machine Learning toolkits (Python stack, comfortable with PyTorch).
  • 2+ years of experience building, scaling, and optimizing ML systems.
  • Experience setting up ML ops workflows and infrastructure from scratch in a startup environment (ideally in Modal or Terraform on AWS and Azure).
  • Production programming experience on a data-intensive project in distributed infrastructure.
  • Experience writing high-performance, parallelized code.
  • Very accustomed to agile software engineering processes, git flow, etc.
  • Prior experience setting up GPU clusters (e.g. previously set up SLURM, or built multi-cloud model training pipelines with Infrastructure-as-Code).
Receive Tech Ladies'
newest jobs in your inbox,
every week.

Join Tech Ladies for full-access to the job board, member-only events, and more!

If you're already a member, we haven't forgotten you. We promise. It's a new system. If you fill out the form once, it'll remember you going forward. Apologies for the inconvenience.

Mexico City
Mexico City
No items found.
Data Science + Analytics
Data Science + Analytics