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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

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Ai Engineer Dev React

$185k - $220k · Senior Fully remote

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

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Founding Full-Stack Developer (AI Focus) - Ryze Labs Incubation About Ryze Labs: Ryze Labs is an innovative venture c...

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Founding Member Ai Dev Full Stack

$45k - $105k* · Senior Fully remote

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Analytics Engineer Hong Kong, Hong Kong SAR Product Management & Product Design – Product Management / Full-time / Hy...

Stats Engineer Javascript Node

$90k - $100k* · Senior Fully remote

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We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting...

Dot Net Dev Full Stack Javascript

$130k - $145k · Senior Fully remote

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We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting...

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Are you a talented Senior Developer looking for a remote job that lets you showcase your skills and earn competitive ...

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LayerZero The Future is Omnichain. Founded in 2021, LayerZero’s vision is to create a community of cross-chain develo...

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Full-Time Full-Stack Software Engineer Culldron – Remote About CulldronCulldron ...

Engineer Full Stack Aws Crypto

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AI/RAG engineer Global / Hong Kong / Kuala Lumpur / London / Penang / Singapore / Taipei CMC / Full-time / Remote App...

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We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting...

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Join Albusleo Ventures in Building The Next Unicorn in Real Estate Technology!About Us:Albusle...

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$63k - $75k* · Senior Fully remote

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Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100...

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Senior Machine Learning Engineer Ads R D

Spotify New York, NY

Live

$176k - $251k · Senior Full-time Posted about 2 months ago 5 min read

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 Senior Machine Learning Engineer to join the Ad Engagement squad. Ad Engagement focuses on using machine learning to accurately predict how Spotify listeners will react to ads, helping advertisers minimize their costs while delivering a more relevant and enjoyable ad experience for listeners. Our core innovations include Multi-Task Learning models (MTL), and we are expanding into scalable sequence modeling with complex transformer architectures. Recently, we presented a paper about this in KDD Toronto and you can check out the latest details in the blog post here.

We are also seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.

We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-scale ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.

What You'll Do

Design and implement machine learning systems for ad performance optimization.
Research and apply ML optimization strategies to balance multiple objectives effectively.
Work on a paradigm shift modeling work for Ads that involves working on Sequence Transformer model for User-Ad Interaction, that works along a MTL model
Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
Collaborate with 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 software engineering, data analysis, and machine learning.
You are proficient in programming languages such as Python, Java, or Scala.
Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle
You have expertise in developing data pipelines using tools like Apache Beam or Spark.
As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.

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 U.S. Eastern time zone for collaboration.

The United States base range for this position is $176,166.00 - $251,666.00, 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.

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What does a React developer in web3 do?

▼

A React developer in the context of web3 is a developer who is using the React JavaScript library to build user interfaces for decentralized applications (dApps) that run on the Ethereum blockchain

These dApps often use smart contracts to facilitate transactions and other interactions on the Ethereum network

Overall, the role of a React developer in web3 involves using your skills in React development to help build cutting-edge decentralized applications that leverage the power of the Ethereum blockchain

As a React developer in web3, some of your responsibilities might include:

Integrating the dApp with the Ethereum blockchain. This might involve using tools like web3.js and Ethers.js to connect to the Ethereum network and interact with smart contracts.
Building the user interface for a dApp using React. This could involve creating components for the various elements of the dApp, such as buttons, forms, and other input elements.
Implementing features that are specific to decentralized applications, such as handling cryptocurrency transactions and displaying data from the blockchain in a user-friendly way.
Collaborating with other members of the development team, such as blockchain engineers and designers, to ensure that the dApp functions properly and meets the needs of the end users.

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What does a React developer in web3 do?