Degree in Artificial intelligence- AI
Aartificial intelligence, Apache Flink, Apache Kafka, Data pipelines, JavaScript, NoSQL, Python Programming, Rust, Scala Programming, Spark-SQL
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 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!
Role: Software Engineer - Data Engineering (ML Platform) - All Levels
Location: Palo Alto
Salary Range: $127,000 to $297,000 USD + Equity
Who We Are:
The Data Engineering team plays a pivotal role in our organization. We are responsible for crafting robust and highly efficient data pipelines that serve a wide range of stakeholders, including our end-users and internal teams such as Product, AI, Marketing, Ads, and Sales. Additionally, we develop essential tools and libraries that cater to various use cases across X. Our work extends beyond data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base.
What you’ll do: As a data engineer at X, you will be able to work with large scale data and make sense out of it. You will need to do the actual work, and also work with team members to design, code, ship new projects and also maintain the pipelines afterwards. You will need to adapt to different toolings, infrastructures, and environments quickly and adjust the solution accordingly. You will need to make sure the data product being offered is accurate, reliable and easy to deal with.
Who You Are: We are looking for dedicated engineers to join us. You should have a strong desire to learn the new stacks and ship impactful projects. You will have exposure to solving large scale problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements. Capable of interpreting product requirements into engineering implementation plans. Effectively communicate with different groups (AI, product, marketing/sales and engineering). You are good at coding, data pipeline toolings and distributed systems.
Requirements:
Twitter, rebranded as X in July 2023, is a top social platform for posts, images, and videos. It offers DMs, calls, Spaces, job search, Grok chatbot, and Community Notes for added context.
Palo Alto, CA, USA; New York City, NY, USA; San Jose, CA, USA; Seattle, WA, USA; Austin, TX, USA
2-4 year
Palo Alto, CA, USA; New York City, NY, USA; San Jose, CA, USA
2-4 year