Job Description
ABOUT XAI
xAI’s mission is to create AI systems that can accurately understand the
universe and aid humanity in its pursuit of knowledge. Our team is small, highly
motivated, and focused on engineering excellence. This organization is for
individuals who appreciate challenging themselves and thrive on curiosity. We
operate with a flat organizational structure. All employees are expected to be
hands-on and to contribute directly to the company’s mission. Leadership is
given to those who show initiative and consistently deliver excellence. Work
ethic and strong prioritization skills are important. All employees are expected
to have strong communication skills. They should be able to concisely and
accurately share knowledge with their teammates.
ABOUT THE ROLE:
At xAI, we are building AI systems that push the frontier of human knowledge and
scientific discovery. High-quality data is fundamental to every stage of that
mission. Our Data team is responsible for ensuring that the models are trained
on the right data, in the right form, at the right quality, across every phase
of the training lifecycle. This includes partnering closely with acquisition
teams to identify where valuable data can be sourced, determining what data is
needed to improve model performance, and building the production pipelines and
systems that transform raw inputs into high-quality training data at scale. We
work at the intersection of data, infrastructure, and machine learning to ensure
our models train effectively and reliably.
As a Data Engineer / AI Engineer on xAI’s Data team, you will be responsible for
developing the systems, processes, and production code that power data
acquisition, preparation, quality evaluation, and delivery for model training.
You will work closely with acquisition teams, ML engineers, and software
engineers to identify data needs, build scalable data pipelines, and
continuously improve the quality of the data that shapes model behavior. The
ideal candidate combines strong software engineering fundamentals and excellent
coding practices with deep intuition for statistics, neural networks, and how
data quality influences training outcomes.
RESPONSIBILITIES:
* Analyze the performance and impact of data used throughout the model training
lifecycle
* Investigate anomalous model behavior and rigorously identify the data issues
that drive poor downstream performance
* Design, build, and improve the data cleaning, transformation, and
quality-control steps required to produce high-quality training data
* Research, evaluate, and develop frontier methods for improving data quality
and effectiveness in AI model development
* Apply statistical techniques and empirical analysis to make informed,
data-driven decisions about dataset quality and model outcomes
* Partner across teams to identify where data needs exist and define the
highest-impact opportunities for new data acquisition and improvement
* Build and maintain production-grade data pipelines, tooling, and software
systems that ingest, process, validate, and deliver data for training
* Develop metrics, evaluation frameworks, and monitoring systems to assess how
data quality influences model behavior at scale
* Fuse data from multiple sources into reliable, usable datasets for research
and production model training
* Create shared datasets, tooling, and internal data products that enable other
teams to analyze, debug, and improve model performance
BASIC QUALIFICATIONS:
* Bachelor’s degree in computer science, data science, physics, mathematics, or
a STEM discipline
* 1+ years of data/software engineering experience (internship experience is
applicable)
* Experience in implementing or analyzing language models or neural networks
PREFERRED SKILLS AND EXPERIENCE:
* Professional experience in analytics, data science, machine learning, or data
engineering
* Experience building and operating production data pipelines for neural
network or large-scale machine learning workloads
* Strong experience with Python and the broader ecosystem of libraries and
tools used in modern machine learning and data development
* Experience working with Parquet or similar columnar storage formats in
large-scale data systems
- Familiarity with Kubernetes and distributed production environments
- Experience developing predictive models and machine learning pipelines,
including clustering, forecasting, anomaly detection, or related techniques
* Experience working with very large-scale datasets, including terabyte- to
petabyte-scale data systems
* Strong statistical intuition and the ability to use quantitative analysis to
guide technical and product decision, including familiarity of scaling ladder
design studies
* Ability to operate effectively in a dynamic environment with evolving
priorities, changing requirements, and fast-moving technical challenges
* Demonstrated ability to take ownership of ambiguous problems, drive projects
independently, and develop new expertise where needed
COMPENSATION AND BENEFITS
$240,000 - $280,000 USD
Base salary is just one part of our total rewards package at xAI, which also
includes equity, comprehensive medical, vision, and dental coverage, access to a
401(k) retirement plan, short & long-term disability insurance, life insurance,
and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view
our Recruitment Privacy Notice [
Job Tags
Full time, Temporary work, Internship