<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif;">SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. </span><span style="font-family: arial, helvetica, sans-serif;">Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. </span><span style="font-family: arial, helvetica, sans-serif;">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. </span><span style="font-family: arial, helvetica, sans-serif;">All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</span></p></div><h3 data-pm-slice="1 1 []"><span style="font-family: arial, helvetica, sans-serif;">ABOUT THE ROLE:</span></h3> <p>We are seeking a skilled Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization. This is an opportunity to work on mission-critical systems that power quantitative decision-making at global scale.</p> <h3><span style="font-family: arial, helvetica, sans-serif;">RESPONSIBILITIES:</span></h3> <ul> <li>Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, Flink, etc.</li> <li>Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement.</li> <li>Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows.</li> <li>Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights.</li> <li>Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics.</li> <li>Implement monitoring, alerting, and automation for data systems to support real-time decision support.</li> <li>Mentor team members on best practices for scalable data engineering and quantitative problem-solving.</li> </ul> <h3><span style="font-family: arial, helvetica, sans-serif;">BASIC QUALIFICATIONS:</span></h3> <ul> <li>4+ years of experience building production data pipelines and infrastructure at scale.</li> <li>Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop).</li> <li>Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.</li> <li>Solid understanding of cloud services for data storage, processing, and orchestration.</li> <li>Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field.</li> <li>Excellent problem-solving skills with a focus on delivering business impact through reliable systems</li> </ul> <h3><span style="font-family: arial, helvetica, sans-serif;">PREFERRED SKILLS AND EXPERIENCE:</span></h3> <ul> <li>Prior work in consumer technology, or social media domains.</li> <li>Experience with real-time streaming systems and low-latency data processing.</li> <li>Contributions to open-source data tools or publications on large-scale analytics systems.</li> <li>Track record of reducing operational costs or improving system efficiency through data optimizations.</li> <li>Have the ability to bridge engineering excellence with rigorous analytical approaches.</li> </ul> <h3><span style="font-family: arial, helvetica, sans-serif;"><strong>COMPENSATION AND BENEFITS:</strong></span></h3> <p><span style="font-family: arial, helvetica, sans-serif;">$180,000 - $440,000 USD</span></p> <p><span style="font-family: arial, helvetica, sans-serif;">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.</span></p><div class="content-conclusion"><p><em>SpaceXAI is an equal opportunity employer. For details on data processing, view our </em><em><a href="https://x.ai/legal/recruitment-privacy-notice" target="_blank">Recruitment Privacy Notice</a>.</em></p></div>