Software Engineer - X Data

🏢 Summary: Data Engineer role focused on building and operating large-scale realtime and batch data platforms that process billions of events daily. The position involves developing distributed data pipelines, analytics infrastructure, and internal data products while collaborating across product, AI, and business teams. Candidates should have strong experience in distributed systems, data processing frameworks, and backend programming languages. 🗂️ Requirements: 3+ years of professional software engineering experience, Experience in data engineering or distributed systems, Hands-on expertise in Python, Rust, Scala, Go or Java, Knowledge of Spark, Knowledge of Kafka, Knowledge of Flink, Knowledge of SQL, Experience with RDBMS and NoSQL storage systems, Experience solving large-scale engineering problems, Ability to translate product requirements into engineering implementation plans, Strong cross-functional communication skills 📃 Skills: Python, Rust, Scala, Go, Java, Spark, Kafka, Flink, SQL, BigQuery, Trino, Clickhouse, Scalding, RDBMS, NoSQL 🏢 Description: SpaceXAI'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: As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base. RESPONSIBILITIES: You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. In this role you will: - Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions. - Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance. - Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data. - Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly. - Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments. - Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement. - Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions. BASIC QUALIFICATIONS: - 3+ years of professional software engineering experience, ideally in data engineering or distributed systems. - Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline tooling and distributed systems. - Knowledge of realtime and batch data processing tools such as Spark, Kafka, Flink, SQL and various storage systems in RDBMS and NoSQL. - Experience solving large scale problems and building new systems for future quality improvements. - Proven ability to interpret product requirements into engineering implementation plans. - Effective communication skills across AI, product, marketing, sales, and engineering teams. COMPENSATION AND BENEFITS: - $125,000 - $400,000 USD base salary - Equity package - Comprehensive medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Software Engineer role focused on building and scaling a high-volume consumer platform with end-to-end ownership across frontend, backend, infrastructure, and AI integrations. The position involves developing distributed systems, microservices, analytics, and real-time features for products used by hundreds of millions of users. Candidates should have experience with large-scale applications, low-latency systems, and modern backend technologies. 🗂️ Requirements: 2+ years experience with large-scale consumer applications, Proficiency in distributed systems, Experience with high-scale low-latency environments, Experience with backend services and APIs, Experience with high-volume streaming systems, Strong communication skills, Ability to work in high-concurrency environments 📃 Skills: Rust, Go, Python, Java, APIs, Microservices, iOS, Android, Web, AI, Streaming, Analytics 🏢 Description: SpaceXAI'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: As a Software Engineer for X Product/Platform, you'll join the thirty person team responsible for building and scaling X. You will be tasked with independently owning significant parts of the system end-to-end: from intuitive user interfaces to robust backend services, data infrastructure, and deep AI integrations. This is a unique opportunity to impact while creating products that are loved by 600M+ users globally. RESPONSIBILITIES: - Develop backend services, APIs, and data models to support high-volume, multi-user environments. - Work with iOS, Android & Web client engineers to ship products. - Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. - Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics. - Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. - Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS: - Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. - 2+ years of experience working on large scale consumer applications. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience working on large scale consumer applications or early-mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user-centric design, and AI solutions. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Software Engineer role focused on building and scaling a high-volume platform serving 600M+ users, with ownership across backend services, infrastructure, AI integrations, and fullstack features. The position involves designing low-latency distributed systems, collaborating across mobile and web teams, and driving architecture, scalability, and reliability decisions. 🗂️ Requirements: 2+ years of experience with large-scale consumer applications, Proficiency in distributed systems, Experience with high-scale, low-latency environments, Knowledge of Rust, Knowledge of Go, Knowledge of Python, Knowledge of Java, Experience with high-volume streaming systems, Ability to build backend services and APIs, Experience with microservices architecture 📃 Skills: Rust, Go, Python, Java, APIs, Microservices, DistributedSystems, Streaming, iOS, Android, Web, Backend, Fullstack, Analytics, AI 🏢 Description: SpaceXAI'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: As a Software Engineer for X Platform, you'll join the thirty person team responsible for building and scaling X. You will be tasked with independently owning significant parts of the system end-to-end: from intuitive user interfaces to robust backend services, data infrastructure, and deep AI integrations. This is a unique opportunity to impact while creating products that are loved by 600M+ users globally. RESPONSIBILITIES: - Develop backend services, APIs, and data models to support high-volume, multi-user environments. - Work with iOS, Android & Web client engineers to ship products. - Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. - Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics. - Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. - Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS: - Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. - 2+ years of experience working on large scale consumer applications. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience working on large scale consumer applications or early-mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user-centric design, and AI solutions. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Data Engineer / AI Engineer role focused on building scalable data systems and pipelines that support AI model training, data quality evaluation, and machine learning performance optimization. The position involves collaborating across teams to acquire, process, validate, and monitor large-scale datasets used in neural network training and scientific AI development. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Physics, Mathematics, or STEM field, 1+ years of data or software engineering experience, Experience implementing or analyzing language models or neural networks, Experience with production data pipelines, Strong Python programming skills, Knowledge of machine learning and statistical analysis, Experience with large-scale datasets, Ability to work in distributed production environments 📃 Skills: Python, Kubernetes, Parquet, MachineLearning, NeuralNetworks, Statistics, Analytics, DataEngineering, Clustering, Forecasting, AnomalyDetection 🏢 Description: SpaceXAI'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 SpaceXAI, 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 SpaceXAI'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 decisions, 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 - $150,000 - $210,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Data Engineer / AI Engineer role focused on building scalable data pipelines, improving training data quality, and supporting AI model development through statistical analysis and production-grade systems. The position involves collaborating with ML and software teams to optimize data acquisition, processing, and evaluation for large-scale neural network training. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Physics, Mathematics, or STEM field, 1+ years of data or software engineering experience, Experience implementing or analyzing language models or neural networks, Strong Python programming skills, Experience with production data pipelines, Knowledge of machine learning and statistical analysis, Familiarity with large-scale datasets and distributed systems, Ability to work in fast-paced, evolving technical environments 📃 Skills: Python, Kubernetes, Parquet, MachineLearning, NeuralNetworks, Analytics, DataEngineering, Statistics, Clustering, Forecasting, AnomalyDetection 🏢 Description: SpaceXAI'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 decisions - 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: - $150,000 - $210,000 USD - Equity package - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Applied Engineer role focused on building and scaling recommendation systems, ranking algorithms, and AI-driven search technologies for products serving hundreds of millions of users. The position involves developing machine learning infrastructure, real-time experimentation, and large-scale deep learning applications using modern AI frameworks and data systems. 🗂️ Requirements: Knowledge of Kafka, Clickhouse, and Spark, Experience implementing recommender systems at industrial scale, Experience with deep learning applications at industrial scale, Proficiency in JAX or PyTorch, Ability to design scalable machine learning systems, Strong communication skills, Hands-on engineering approach 📃 Skills: Kafka, Clickhouse, Spark, JAX, PyTorch, CUDA, Python, AI, ML 🏢 Description: SpaceXAI'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: We're seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with an engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences. RESPONSIBILITIES: - Designing and architecting recommendation algorithms across various product surfaces - Leverage all of xAI's infra and AI stacks to dramatically enhance the user experience - Write data pipelines and training jobs that continuously learn from product data - Iterate and improve the algorithm by gathering user feedback in real time through experimentation - Ensuring scalability and efficiency of machine learning systems BASIC QUALIFICATIONS: - Knowledge of data infrastructure like Kafka, Clickhouse, and Spark - Experienced in implementing recommender systems and/or deep learning applications at industrial scale - Skilled in one or more DL software frameworks such as JAX or PyTorch - Exceptional candidates may be experienced in writing CUDA kernels COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is one part of the total rewards package and includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, and additional discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Software Engineer role focused on building scalable data platforms and pipelines that support AI model training, data acquisition, quality evaluation, and orchestration. The position involves developing reliable infrastructure, monitoring systems, and training workflows while collaborating closely with ML and data engineering teams. Candidates should have strong software engineering fundamentals and experience with modern programming languages, distributed systems, and data technologies. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Engineering, Math, Physics, or related scientific field OR 2+ years of professional software development experience, 1+ years of experience in application development, 1+ years of experience in software engineering, data engineering, or data science, Experience with programming languages such as Python, Rust, Java, C#, Scala, or Go, Experience with frontend frameworks such as Angular or React, Hands-on experience with Kubernetes and containerized deployments, Understanding of version control, testing, continuous integration, deployment, and monitoring, Understanding of statistics and machine learning frameworks 📃 Skills: Python, Rust, Java, C#, Scala, Go, Angular, React, Kubernetes, Ray, PostgreSQL, Iceberg, Clickhouse, Grafana, Superset, JavaScript, SQL, CI, CD, Docker, MachineLearning 🏢 Description: SpaceXAI'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 SpaceXAI, 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 software, data, infrastructure, and machine learning to ensure our models train effectively and reliably. As a Software Engineer on SpaceXAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable and repeatable manner. You will also provide visibility on training status and data lineage. You will work closely with acquisition teams, ML engineers, and data engineers to build a reliable data pipeline to run training at scale. The ideal candidate combines strong software engineering fundamentals and excellent coding practices. RESPONSIBILITIES: - Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training - Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance - Collaborate with peers on architecture, design, and code reviews - Build prototypes to prove out key design concepts and quantify technical constraints - Own all aspects of software engineering and product development - Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: - Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree - 1+ years of experience in application development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: - Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages - Frontend experience in Angular, React, or similar JavaScript frameworks - Hands-on experience with Kubernetes and containerized deployments - Experience with Ray, AI training and orchestration - Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar - Experience with data exploration tools like Grafana, Superset, or similar - Good understanding of version control, testing, continuous integration, build, deployment and monitoring - Good understanding of statistics, machine learning algorithms and frameworks COMPENSATION AND BENEFITS: - $150,000 - $250,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: AI engineering role focused on scaling synthetic training data, optimizing large-model training pipelines, and developing evaluation systems for advanced ML models. The position involves large-scale data processing, model distillation, and long-context data engineering in a highly technical environment. 🗂️ Requirements: Expertise in machine learning and large model scaling, Knowledge of scaling laws, Ability to design ML experiments, Experience with AI training data curation, Familiarity with text, image, audio, and video modalities, Strong engineering skills in large-scale data processing frameworks, Experience with Spark, Experience with Ray, Strong communication skills 📃 Skills: ML, Spark, Ray, Docker, RL, AI 🏢 Description: SpaceXAI'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. RESPONSIBILITIES: - Scale synthetic coding data to trillions of tokens with large-scale docker verification. - Distill the intelligence of flagship models into flash models through synthetic data generation. - Optimize mid-training data mixtures to boost the ceiling for RL. - Engineer long-context data recipes. - Develop robust and diverse evaluation for mid-training checkpoints. BASIC QUALIFICATIONS: - Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. - Strong ability to design ML experiments. - Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. - Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is part of a total rewards package that includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and additional discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Senior Data Engineer role focused on building and owning analytics infrastructure for consumer subscription products, including revenue, retention, churn, and growth analysis. The position combines large-scale data engineering, statistical analysis, experimentation, and dashboard development to drive product and business decisions. Candidates will work with subscription metrics, real-time analytics, and cross-functional stakeholders in a high-impact environment. 🗂️ Requirements: 5+ years of experience in data analytics or equivalent, Strong SQL proficiency, Strong Python proficiency, Experience with statistical methods, Experience with A/B testing, Experience with cohort analysis, Experience with causal inference, Experience with subscription metrics and modeling, Experience building dashboards and visualizations, Ability to work with large-scale datasets, Strong data accuracy and analytical rigor 📃 Skills: SQL, Python, pandas, numpy, Looker, Tableau, Metabase, BigQuery 🏢 Description: SpaceXAI'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: We're seeking a Senior Data Engineer to join the Consumer Subscriptions team. You will own the analytics foundation for X Premium and SuperGrok — one of X's fastest-growing revenue organizations. You will dive deep into the entire consumer subscription ecosystem, turning massive-scale data into clear, actionable insights that drive strategic decisions, optimize revenue, and shape product direction. This high-impact role combines rigorous statistical analysis, compelling visualization, and hands-on data engineering to monitor performance, measure impact, surface opportunities, and ensure every initiative moves the needle. RESPONSIBILITIES: - Own end-to-end analysis of the consumer subscriptions ecosystem — including acquisition, conversion, retention, churn, revenue, pricing, promotions, bundles, and global performance. - Build and maintain high-impact dashboards and visualizations that give the team real-time visibility into key metrics and trends. - Perform deep statistical analysis and experimentation to quantify the impact of new features, offers, communications, and market expansions. - Identify where the team should focus next by uncovering growth opportunities, user behavior patterns, and optimization levers. - Design and run ongoing monitoring systems and automated audits to ensure data accuracy, integrity, and compliance at scale. - Write efficient code (SQL, Python, etc.) to extract, transform, and analyze complex datasets from multiple sources. - Translate complex findings into clear, compelling narratives and recommendations that influence engineering, product, and business strategy. BASIC QUALIFICATIONS: - 5+ years of experience as a data analyst (or equivalent) with a proven track record in revenue, subscription, or growth analytics. - Strong SQL and Python proficiency (pandas, numpy, etc.) for data extraction, cleaning, and analysis. - Deep experience with statistical methods, A/B testing, cohort analysis, and causal inference. - Strong familiarity with subscription metrics and modeling (LTV, churn, retention, conversion, revenue attribution, etc.). - Skilled at building intuitive dashboards and visualizations (Looker, Tableau, Metabase, or Python-based tools). - Ability to handle large-scale data with a strong emphasis on accuracy, rigor, and storytelling. PREFERRED SKILLS AND EXPERIENCE: - Prior work in consumer subscriptions, billing, payments, or monetization analytics at scale. - Experience with BigQuery and real-time analytics pipelines. - Strong product intuition and the ability to connect data insights directly to business outcomes. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Senior Data Engineer role focused on building and optimizing the analytics foundation for consumer subscriptions, including revenue, retention, churn, and growth insights. The position combines large-scale data engineering, statistical analysis, experimentation, and dashboarding to drive product and business decisions. Candidates will work with subscription analytics, real-time monitoring systems, and data pipelines to support strategic initiatives. 🗂️ Requirements: 5+ years of experience in data analytics or equivalent, Strong SQL proficiency, Strong Python proficiency, Experience with statistical methods and A/B testing, Experience with cohort analysis and causal inference, Knowledge of subscription metrics and modeling, Experience building dashboards and visualizations, Ability to work with large-scale datasets, Strong data accuracy and analytical rigor, Strong communication and storytelling skills 📃 Skills: SQL, Python, pandas, numpy, Looker, Tableau, Metabase, BigQuery 🏢 Description: SpaceXAI'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: We're seeking a Senior Data Engineer to join the Consumer Subscriptions team. You will own the analytics foundation for X Premium and SuperGrok — one of X's fastest-growing revenue organizations. You will dive deep into the entire consumer subscription ecosystem, turning massive-scale data into clear, actionable insights that drive strategic decisions, optimize revenue, and shape product direction. This high-impact role combines rigorous statistical analysis, compelling visualization, and hands-on data engineering to monitor performance, measure impact, surface opportunities, and ensure every initiative moves the needle. RESPONSIBILITIES: - Own end-to-end analysis of the consumer subscriptions ecosystem — including acquisition, conversion, retention, churn, revenue, pricing, promotions, bundles, and global performance. - Build and maintain high-impact dashboards and visualizations that give the team real-time visibility into key metrics and trends. - Perform deep statistical analysis and experimentation to quantify the impact of new features, offers, communications, and market expansions. - Identify where the team should focus next by uncovering growth opportunities, user behavior patterns, and optimization levers. - Design and run ongoing monitoring systems and automated audits to ensure data accuracy, integrity, and compliance at scale. - Write efficient code (SQL, Python, etc.) to extract, transform, and analyze complex datasets from multiple sources. - Translate complex findings into clear, compelling narratives and recommendations that influence engineering, product, and business strategy. BASIC QUALIFICATIONS: - 5+ years of experience as a data analyst (or equivalent) with a proven track record in revenue, subscription, or growth analytics. - Strong SQL and Python proficiency (pandas, numpy, etc.) for data extraction, cleaning, and analysis. - Deep experience with statistical methods, A/B testing, cohort analysis, and causal inference. - Strong familiarity with subscription metrics and modeling (LTV, churn, retention, conversion, revenue attribution, etc.). - Skilled at building intuitive dashboards and visualizations (Looker, Tableau, Metabase, or Python-based tools). - Ability to handle large-scale data with a strong emphasis on accuracy, rigor, and storytelling. PREFERRED SKILLS AND EXPERIENCE: - Prior work in consumer subscriptions, billing, payments, or monetization analytics at scale. - Experience with BigQuery and real-time analytics pipelines. - Strong product intuition and the ability to connect data insights directly to business outcomes. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.