Machine Learning Platform Engineer
Machine Learning Platform Engineer
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Job Description
Are you prepared to join the X team and help build the ultimate realtime informationsharing app revolutionizing how people connect At X were on a mission to become the trusted global digital public square committed to protecting freedom of speech and building the future unlimited interactivity. 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: Palo Alto New York City Seattle
Salary Range: $127000 USD $297000 USD Equity
Who We Are:
At X were 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 lets talk.
As an ML Platform Engineer you will play a pivotal role in providing the most reliable and performant ML Platform experience on X. Your responsibilities will include:
Build largescale distributed machine learning systems which are scalable performant efficient and reliable.
Enabling teams to quickly test and iterate on their ML hypotheses via ML training capabilities reliable GPU compute infrastructure and experimentation tools such as distributed deep learning libraries and Python notebooks
Integrating Xs GPU compute environment with large scale data and inference pipelines
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
Collaborating with crossfunctional teams to integrate machine learning models into our platform
Mentoring junior engineers and contributing to the teams growth
Participant in design and code reviews team processes and technical decisions.
Shape the future of development of Machine Learning Platform at X.
Who You Are:
Were 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 Postgraduate 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 firsthand modeling or close collaboration with modeling engineers or data scientists
Programming experience in Python Rust or C / C Scala or Java.
Nice to haves
You are comfortable with Linux systems.
You have worked with Vector databases GPU / CUDA programming.
You stay uptodate on Machine Learning and Deep Learning industry trends
You have low level understanding of compute systems such as distributed storage NVIDIA drivers and CUDA toolkits
You have worked with Slurm scheduler Puppet or Ansible
At X our small but fastpaced team values innovation creativity and a strong commitment to our mission. Youll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.
If youre an exceptional engineer who shares our passion for freedom of speech wed love to hear from you.
Employment Type
Full-Time
