X (formerly Twitter)

Machine Learning Platform Engineer

San Francisco, CA New York, NY
USD 127k - 297k
Java Machine Learning PyTorch TensorFlow Deep Learning Python Rust
Description

Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!

  

Machine Learning Platform Engineer (All Levels)
Location: San Francisco or Seattle
Base Salary Range: $127,000 USD - $297,000 USD

_

Who We Are:

At X, we’re pioneering the frontier of technology with our innovative Everything App. Our mission is to revolutionize how people connect, share ideas, and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.

We value:

  • Writing code rather than documents

  • Shipping products rather than talking about roadmaps

  • Big features rather than changing button colors

If this sounds like you, let’s talk.

Your Role: 

  • Build large-scale distributed machine learning systems which are scalable, performant, efficient and reliable. 

  • Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment. 

  • Participant in design and code reviews, team processes, and technical decisions. 

  • Work on ML frameworks such as Pytorch, Tensorflow, and/or feature management and vector databases such as Qdrant.

  • Learn new machine learning, deep learning, and/or natural language processing techniques for a variety of modeling and relevance problems involving users, their tweets, their interests, twitter ads, and relationships among entities. 

  • Conduct online A/B testing, interpret and understand algorithm performance

  • Shape the future of development of Machine Learning Platform at X.

Who You Are:

We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:

  • Bachelor, Master, Post-graduate or PhD in computer science, computing engineering, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience

  • 2+ years of industry experience working with high traffic or large ML production environments, distributed systems, backend infrastructure, recommender systems and/or deep learning applications

  • 2+ years experience with ML problems and platform tools either through first-hand modeling or close collaboration with modeling engineers or data scientists

  • Programming experience in Python, Rust or C / C++ or Java.

Nice to haves

  • You are comfortable with Linux systems.

  • You have worked with Vector databases, GPU / CUDA programming. 

At X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As a Senior/Staff ML Platform Engineer, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App. 

If you're an exceptional engineer who shares our passion for freedom of speech, we'd love to hear from you.

  

If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!

X (formerly Twitter)
X (formerly Twitter)
Blogging Platforms Mortgage Social Media Social Network Web3

0 applies

69 views

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 264 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers