Staff Machine Learning Engineer - Machine Learning Platform
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!To enable this and many other teams in the ML space (including ads, creators, content, and more), the Machine Learning platform team owns and maintains the infrastructure and the strategy for machine learning at Spotify. As a member of our ML platform team, you will be working with a multi-functional team of engineers, product managers, user researchers, designers, and data scientists to craft the ML practitioner experience across Spotify. You will help build products that enable 60+ teams and 600+ Engineers to apply Machine Learning to initiatives that connect creators on Spotify’s platform (music, podcasts, and more) to the 400M+ and rapidly growing global user base.
What you'll do
- Architect an outstanding platform to enable ML practitioners to analyze, monitor, debug, and communicate model performance, strengths and weaknesses.
- Build libraries, tools, and playbooks for building, training, and evaluating models.
- Deliver scalable, testable, maintainable, and high-quality code.
- Share knowledge, evangelize best practices, and collaborate with teams working on innovative ML problems.
- Join an encouraging environment fostering your individual growth through exciting work, offering the freedom to acquire new skills via hack weeks, reading groups, and a variety of internal training courses.
Who you are
- You have 7+ years of Applied ML experience.
- You understand the theory and practice of machine learning through hands-on experience delivering production machine learning systems at scale.
- You have participated in the end-to-end model lifecycle (i.e, Problem Definition, Feature Engineering, Training, Hyperparameter Tuning, Offline Evaluation, Serving, and A/B Tests, and Monitoring).
- You have written fluent, modern Python and the ecosystem of libraries and frameworks used for Data and ML (e.g. Tensorflow, Kubeflow, Ray, Pytorch, Flyte, or XgBoost).
- You are knowledgeable about model evaluation approaches such as Counterfactual Analysis, Model Explainability, Model Calibration, Model A/B testing, and Multi-Arm Bandits.
- You stay ahead of research, industry products, and trends in the larger ML community.
- You value team success over personal success.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
- Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
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 with a community of more than 381 million users.
This role is not eligible for hire in Colorado, USA.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For NYC, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties.For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Engineering Feature engineering Kubeflow Machine Learning Python PyTorch Research Streaming TensorFlow Testing XGBoost
Perks/benefits: Career development Equity
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Generative AI-related jobs