ML Infrastructure Engineer

Key Skills

C++, Deep Learning, Java Programming, Machine learning techniques, Python Programming, Scala Programming

Job 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!

ML Infrastructure Engineer (all levels)

Location: San Francisco or New York

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:

As an ML Infrastructure Engineer, you will play a pivotal role in providing the most reliable and performant ML Platform experience on X. Your responsibilities will include:

• 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
• Collaborating with cross-functional teams to integrate machine learning models into our platform
• Ensuring scalability and efficiency of machine learning systems
• Work across the stack to solve problems independently
• Mentoring junior engineers and contributing to the team's growth

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 (4+ for Senior) working with high traffic or large data production environments, distributed systems, backend infrastructure, recommender systems and/or deep learning applications
• 2+ years experience (4+ for Senior) with ML problems and platform tools either through first-hand modeling or close collaboration with modeling engineers or data scientists
• Working knowledge of Jupyter notebooks and Python, plus experience with a compiled language, such as Scala, Java or C++

Nice to haves

• You stay up-to-date 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 are comfortable with Linux systems
• 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. As an ML Infrastructure Engineer/ Senior ML Infrastructure 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.