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Machine Learning Engineer - ML/AI Platform Toronto Engineering – Platform / Permanent / Hybrid Apply for this job The...

Ai Engineer Machine Learning Kubernetes

$61k* · Senior Fully remote

Machine Learning Engineering Manager, Personalization New York, NY Engineering – Personalization / Permanent / Remote...

Executive Engineer Machine Learning Ai

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Machine Learning Engineer, Personalization New York, NY / Boston, MA Engineering – Personalization / Permanent / Remo...

Engineer Machine Learning Ai Java

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Machine Learning Engineer, GenRecs, Personalization New York, NY Engineering – Personalization / Remote Apply for thi...

Engineer Machine Learning Ai Aws

$138k - $197k · Senior Fully remote

Senior Machine Learning Engineer - Ads R&D New York, NY Engineering – Advertising R&D / Permanent / Remote Apply for ...

Ads Engineer Machine Learning Ai

$176k - $251k · Senior Fully remote

Machine Learning Engineer - Advertising New York, NY Engineering – Advertising R&D / Permanent / Remote Apply for thi...

Engineer Machine Learning Ai Java

$138k - $197k · Senior Fully remote

Location San Francisco Employment Type Full time Location Type Hybrid Department Engineering Inference.net is seeking...

Engineer Machine Learning Ai Docker

$180k - $250k · Senior Fully remote

Experience: Minimum of 2 years of experience in AI/ML/Data ScienceSummary:The Associate AI/ML/Data Science will be re...

Ai Machine Learning Python R

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

3d Ai Engineer Machine Learning

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About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zsca...

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WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative ent...

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About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zsca...

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Engineer Intern Entry Level Machine Learning

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Role Overview We are seeking an experienced Machine Learning Researcher to join our research team. This role requires...

Research Machine Learning Ai Pytorch

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Technology FieldMachine LearningComputer Vision Position Summary We aim to develop groundbreaking tools and services ...

Research Intern Entry Level Machine Learning

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Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions fl...

Engineer Lead Machine Learning Ai

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About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zsca...

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Intern Entry Level Machine Learning Ai

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Join a leading fintech company thatâs democratizing finance for all. Robinhood Markets was founded on a simple idea...

Engineer Machine Learning Ai Kubernetes

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Machine Learning Architect Global Research and Development – Big Data/AI / Full-time remote / Remote Apply for this j...

Architecture Machine Learning Ai Remote

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

3d Infrastructure Engineer Machine Learning

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

Ai Video Engineer Machine Learning

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

3d Ai Engineer Lead

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Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' tech...

3d Engineer Lead Machine Learning

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Selected role

Machine Learning Engineer ML AI Platm

Spotify Toronto

$61k Senior Full-time

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 requires learning and applying new technologies that may go beyond existing skillsets.
Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops.
Designs, documents and implements reliable, testable and maintainable solutions ML infrastructure capabilities.

Who You Are

You have 3+ years of hands-on experience productionize ML models either by collaborating with Knowledge of deep learning fundamentals, algorithms, and open-source tools such as Huggingface, Ray, PyTorch or TensorFlowGood 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 still allows for flexibility to work from home.

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.

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