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Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that alig...

Engineer Machine Learning Java Scala

$148k - $212k · Senior Fully remote

Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn't just any ...

Intern Entry Level Machine Learning Java

$61k* · Senior Fully remote

Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn't just any ...

Intern Entry Level Machine Learning Java

$61k* · Senior Fully remote

Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn't just any ...

Intern Entry Level Machine Learning Java

$61k* · Senior Fully remote

UI Studio is Spotify’s internal generative UI prototyping platform that enables teams to spin up fully functioning re...

Engineer Full Stack Senior Design

$12k* · Senior Fully remote

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We...

Engineer Machine Learning Aws Java

$138k - $197k · Senior Fully remote

Data Infrastructure Engineer - Data Platform London Engineering – Platform / Permanent / Hybrid Apply for this job Th...

Infrastructure Engineer Java Scala

$61k* · Senior Fully remote

Software Engineer, Internship - Infrastructure New York, NY Dev / Internship / On-site Apply for this job A World-Cha...

Infrastructure Engineer Intern Entry Level

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Forward Deployed AI Engineer New York, NY Delta / Full-time / Hybrid Apply for this job A World-Changing Company Pala...

Ai Engineer Java Javascript

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Engineer Dev Java Kubernetes

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

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Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team. We are hiring on our Ads Data Store and...

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Fullstack Engineer - Subscriptions London / Stockholm Engineering – Subscriptions R&D / Permanent / Hybrid Apply for ...

Engineer Full Stack Java Javascript

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We are looking for a mid level Data Engineer to join Spotify’s Finance Engineering organization. The Crunch squad bui...

Engineer Finance Non Tech Java

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

Dev Senior Java Python

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Security engineers at Spotify protect the security of Spotify’s platform and of our 700+ million users. We are lookin...

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QA Engineer Remote Engineering / Full-time / Remote Apply for this job At Offchain Labs, we aren’t just building prod...

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Senior Machine Learning Engineer New York, NY Engineering – Personalization / Permanent / Remote Apply for this job T...

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Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that alig...

Ads Engineer Aws Java

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Engineer Reliability Aws Java

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JOB TYPE: Direct Hire Position (no agencies/C2C - see notes below) LOCATION: Atlanta, GA, USA  (Time Zone: EST |...

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Selected role

Machine Learning Engineer II - Ad Forecasting

Spotify New York, NY

$148k - $212k Senior Full-time

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

We are seeking a Machine Learning Engineer with expertise in machine learning model development, AI engineering, online experimentation techniques, and large-scale engineering systems. This role will lead strategic initiatives and projects within Ads Forecasting.

The Ads Forecasting squad focuses on building and maintaining the models and systems that predict future ad inventory,demand, and performance across Spotify's platform. By leveraging data and experimentation, we aim to provide accurate, timely forecasts that drive key business decisions, optimize ad delivery, and ensure the long-term health of our advertising business. We operate on the cutting edge of both machine learning and AI engineering, employing both in-house first party models developed through traditional machine learning and state-of-the-art time-series and predictive modeling techniques.

We are looking for someone who is motivated by user and business problems as much as they are by technical problems, and who enjoys ambiguity, brainstorming, experimentation, and iteration. You will work in close collaboration with key stakeholders across engineering, product, business, and leadership teams to build the most impactful solutions for our Spotify listeners and business partners.

What You'll Do

Design and implement machine learning systems to predict future ad inventory,demand, and performance
Research and apply best practices for driving automation with respect to human review processes
Partner with multiple teams to shape and enhance shared systems and pipelines
Come up with creative ways to apply AI tools to develop innovative solutions
Collaborate with and lead backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies

Who You Are

You have professional experience in applied machine learning
You have strong technical expertise in application development, microservice architecture, distributed systems and/or data analysis
You are proficient in programming languages such as Python, Java, or Scala
You are skilled with operating in a cloud-native infrastructure
You have experience in developing data pipelines using tools like Apache Beam or Spark
As a plus, you may have experience with adtech, categorization systems, and evaluation tools / data curation techniques

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
This team operates within the Eastern time zone for collaboration.

The United States base range for this position is $148,901.00 - $212,716.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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