Machine Learning Platform Engineer
Company: 101 X Corp.
Location: New York
Posted on: April 5, 2025
Job Description:
Machine Learning Platform Engineer page is loadedMachine
Learning Platform EngineerApply locations: New York City, NY; Palo
Alto, CA; San Jose, CA; Seattle, WATime type: Full timePosted on:
Posted 30+ Days AgoJob requisition id: R100447Are 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 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, SeattleSalary Range: $127,000 USD - $297,000 USD +
EquityWho 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 colorsIf this sounds
like you, let's 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 large-scale 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 X's 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 cross-functional teams to integrate machine
learning models into our platform.
- Mentoring junior engineers and contributing to the team's
growth.
- Participate in design and code reviews, team processes, and
technical decisions.
- 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, 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 up-to-date on Machine Learning and Deep Learning
industry trends.
- You have a 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 fast-paced team values innovation, creativity, and a
strong commitment to our mission. 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.
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Keywords: 101 X Corp., New York , Machine Learning Platform Engineer, Engineering , New York, New York
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