Machine Learning Engineer, ML / AI Platform

Spotify AB; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading audio streaming service is looking for a Machine Learning Engineer to develop a robust platform for training and serving ML models. This position requires experience with productionizing ML models and using Kubernetes. The successful candidate will contribute to SDK development and ensure scalable ML tooling solutions. The role offers flexibility to work from home and includes benefits like extensive learning opportunities and global parental leave.

Benefits

Extensive learning opportunities

Flexible share incentives

Global parental leave

Employee assistance program

Qualifications

• 3+ years of hands-on experience productionizing ML models.
• Knowledge of deep learning fundamentals and algorithms.
• Experience with agile software processes.

Responsibilities

• Contribute to Spotify ML Platform SDK and build tools for ML operations.
• Manage and maintain large-scale production Kubernetes clusters for ML workloads.
• Design and implement reliable solutions for ML infrastructure.

Skills

Productionizing ML models

Deep learning fundamentals

Data processing for ML

Agile software processes

Production ML systems in Python, Scala

Tools

Kubernetes

PyTorch

TensorFlow

Ray

Hugging Face

Job description

Overview

The Hendrix ML Platform team is dedicated to developing a robust, Spotify-wide platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.

What You'll Do

• Contribute to Spotify ML Platform SDK and build tools for various ML operations.
• Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements.
• Work independently and collaboratively on squad projects that often require learning and applying new technologies beyond existing skillsets.
• Manage and maintain large-scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops.
• Design, document and implement reliable, testable and maintainable solutions for ML infrastructure capabilities.

Who You Are

• You have 3+ years of hands-on experience productionizing ML models, including collaborating with teams; knowledge of deep learning fundamentals, algorithms, and open-source tools such as Hugging Face, Ray, PyTorch or TensorFlow. Good to have an understanding of distributed training leveraging GPUs and Kubernetes.
• You have a general understanding of data processing for ML.
• You have experience with agile software processes and modular code design following industry standards.
• You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages.

Where You'll Be

• This role is based in Toronto, Canada.
• We offer you the flexibility to work where you work best. There will be some in-person meetings, but it still allows for flexibility to work from home.

Learn about life at Spotify

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking. So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.