Recruiting Coordinator

🏢 Summary: HR Business Partner role supporting technical and non-technical teams in a fast-paced AI organization, focused on talent strategy, organizational design, employee relations, and performance management. The position involves partnering with leadership on hiring, compensation, employee development, and people analytics. Offers competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: 4+ years experience as HR generalist or HRBP, Experience in fast-paced high-growth environments, Experience supporting technical teams, Strong problem-solving and analytical skills, Excellent interpersonal and influencing skills, Ability to build relationships across organizational levels, Experience partnering on global HR issues, Excellent verbal and written communication skills, Organizational consulting skills 📃 Skills: HRBP, HR, Analytics, Compensation, Benefits, Recruitment, Onboarding, Reporting, OrganizationalDesign, PerformanceManagement 🏢 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: The HR Business Partner team is a key partner in helping scale the organization and support its talented employees. We work closely with senior leaders and their teams with the full lifecycle of an employee from onboarding, career development, recognition, performance management, org design and more. We help steer important decisions, and operate with urgency in ensuring that all of our teams are able to perform at their very best. In this role you will support both Technical and Non-Technical teams. RESPONSIBILITIES: - Strategize with managers on talent from recruitment strategy and skill needs, to employee relations, rewards and recognition, and employee morale and satisfaction. - Regularly track people data and identify trends and patterns on hiring, attrition, employee feedback, and compensation. - Partner with compensation and benefits teams in administering and evaluating our rewards programs, and ensuring employees are educated and familiar with our offerings. Identify areas we can continue to enhance and improve. - Provide partnership in organizational design through re-orgs, management changes, leveling & titles, and data & reporting. - Give critical and direct feedback to managers on areas of opportunity so they can continue to grow and lead at a high level. Understand their organizations and products, to better help influence your recommendations and guidance. BASIC QUALIFICATIONS: - 4+ years as an HR generalist/HRBP with exposure/experience across other fields within HR or related discipline. - Experience working in a fast-paced, high growth, dynamic business environment; experience in the tech industry and supporting technical teams highly desired. - Strong problem-solving, critical/analytical thinking abilities. - Outstanding interpersonal and influencing skills; demonstrated ability to develop relationships and influence at multiple levels within the organization. - Demonstrated ability to partner with team members outside of the US on global issues. - Excellent communication (verbal and written) skills and organizational consulting skills. PREFERRED SKILLS AND EXPERIENCE: - Motivated by complexity and challenges. - Comfortable in ambiguity and able to make sound decisions. - High energy and adaptable in fast-paced environments. - Strong learning agility and understanding of people dynamics, business models, and talent processes. COMPENSATION AND BENEFITS: - $110,000 - $140,000 USD. - Equity package. - Medical, vision, and dental coverage. - 401(k) retirement plan. - Short and long-term disability insurance. - Life insurance. - Additional discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a U.S. citizen or national, lawful permanent resident, refugee, asylee, or eligible to obtain required authorization from the U.S. Department of State. SpaceXAI is an equal opportunity employer.

🏢 Summary: HR Business Partner role supporting engineering teams in a fast-paced AI organization, focused on employee relations, workforce analytics, organizational development, and HR operations. The position requires close collaboration with leaders and employees across the full employee lifecycle while managing HR programs and processes onsite in Palo Alto. 🗂️ Requirements: 3–5+ years of HR Generalist or HRBP experience, Experience in fast-paced, high-growth environments, Strong problem-solving and analytical skills, Excellent interpersonal and communication skills, Ability to support employee relations and performance management, Experience collaborating with managers and senior leaders, Ability to maintain confidentiality, Onsite availability in Palo Alto, CA, Ability to work extended hours and weekends when needed, Eligibility to work under ITAR regulations 📃 Skills: Workday, Greenhouse, UltiPro, Excel, PowerPoint, Word, Outlook 🏢 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: The HR Business Partner team is a key partner in helping scale the organization and support its talented employees. We work closely with senior leaders and their teams with the full lifecycle of an employee from onboarding, career development, recognition, performance management, org design and more. We help steer important decisions, and operate with urgency in ensuring that all of our teams are able to perform at their very best. In this role you will support a hardcore engineering team. RESPONSIBILITIES: - Respond to employee inquiries, questions and complaints, and provide information, guidance and direction on employee relations issues, performance management, and other core HR functions - Operate as a key business partner to employees, managers, directors and senior leaders on workforce analytics, organizational optimization, leadership development, and other strategic initiatives - Work closely with the functional experts in HR (recruiting, training and development, compensation, and benefits) to ensure programs are optimized for the needs of your client groups and to shape company-wide programs - Counsel and assist employees and managers, guided by the Company's policies and relevant laws/regulations - Facilitate internal transfers, oversee and facilitate promotion opportunities, conduct exit interviews, and identify trends to support retention, career development and to minimize risk for the business - Work with managers and above to implement key HR recommendations and change efforts - Assist with the creation, documentation, and implementation of human resources policies, programs, and processes - Uphold standards of strict confidentiality with respect to all matters and documents - Maintain employee files and process HR transactions in Workday BASIC QUALIFICATIONS: - 3–5+ years of experience as an HR Generalist or HRBP, with exposure across other HR disciplines - Experience working in a fast-paced, high-growth, dynamic business environment - Strong problem-solving, critical thinking, and analytical skills - Excellent interpersonal, influencing, and communication skills, with the ability to build relationships and influence at all levels of the organization PREFERRED SKILLS AND EXPERIENCE: - Experience working in the tech industry/supporting engineering teams - Demonstrated success at building effective relationships - Ability to lead with a positive attitude and approach challenges head-on - Experience independently handling employee relations issues - Familiarity with Greenhouse, UltiPro, and/or Workday - Ability to use independent judgment to make decisions as well as organize and prioritize work - Demonstrated excellence thriving in a fast-paced environment - Experience with Microsoft Outlook, Word, Excel, and PowerPoint ADDITIONAL REQUIREMENTS: - This is not a remote or hybrid position and will require relocation if not already local to the Palo Alto, CA area - Position requires ability to work extended hours and weekends when needed COMPENSATION AND BENEFITS: - $115,000 - $140,000 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 ITAR REQUIREMENTS: - Applicant must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible to obtain required authorizations from the U.S. Department of State. 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: Engineering role focused on building and scaling a unified AI research platform for model training orchestration, evaluations, benchmarking, and experiment management. The position involves designing performant and user-friendly systems with strong product ownership and collaboration across research and engineering teams. Open to candidates from new graduate to senior level with strengths in frontend, backend, data, or AI systems. 🗂️ Requirements: Excellent prioritization skills, Outstanding communication skills, Strong product intuition, Ownership mindset, Strong quality and UX sensitivity, Proven technical excellence in frontend, backend, data, or agentic systems 📃 Skills: React, Frontend, Backend, APIs, Architecture, Data, UX, 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. We are looking for exceptional engineers and builders with great taste, strong product sense, excellent prioritization, and outstanding communication skills. You will own and elevate our mission-critical research platform that directly accelerates frontier AI research work. Our team is contributing to Toolbox — a unified Research Platform for model training orchestration, evaluations, benchmarking, and experiment management. You will design, build, and ship delightful, performant, and scalable systems that researchers and engineers love to use every day. This role values product ownership, taste, and narrow specialization. We are open to all levels from new grads to senior engineers. Requirements - Excellent prioritization skills — ability to focus on high-impact work in a fast-moving environment - Outstanding communication skills — ability to articulate trade-offs, technical decisions, and product thinking to technical and non-technical stakeholders - Strong product intuition and ownership mindset - Strong taste and sensitivity for quality across frontend interfaces, backend APIs, data flows, and system architecture - Proven technical excellence in at least one area such as UX/frontend, backend, data, or agentic systems Bonus Points - Experience founding or joining a fast-growing early-stage startup - Familiarity with AI/ML workflows, annotation tools, or research platforms - Experience creating and maintaining component libraries, design systems, or internal tools - Background in UX design, product management, or related fields Interview Process - Coding 1 — Practical coding exercise (React component for frontend-focused candidates or general practical exercise) - Coding 2 — System design discussion focused on frontend architecture, backend architecture, or relevant technical domain - Coding 3 — Product and taste assessment covering user needs, roadmap creation, and prioritization - Meet the team and present an exceptional work/project SpaceXAI is an equal opportunity employer.

🏢 Summary: Engineering role focused on developing and optimizing reinforcement learning training infrastructure for large-scale workloads, from experimentation to production systems. The position involves improving scalability, observability, and end-to-end training performance in distributed environments. 🗂️ Requirements: Experience with large-scale distributed systems, Ability to debug and optimize system efficiency, Problem-solving across all levels of the stack, Proficiency in Python, Proficiency in Jax, Rust, or C++, Strong communication skills 📃 Skills: Python, Jax, Rust, C++, RL, LLM 🏢 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: The RL infrastructure team is looking for an engineer to help develop our RL training framework. RESPONSIBILITIES: - Design and implement the systems backing all RL workloads, from small scale ablations to production training runs - Profile, debug, and optimize end-to-end training performance - Improve scalability and observability of the RL stack BASIC QUALIFICATIONS: - Experience building, debugging, and optimizing efficiency of large-scale distributed systems - Comfortable diving into unfamiliar areas and solving problems at all levels of the stack - Proficiency in Python, Jax, Rust, and/or C++ PREFERRED SKILLS AND EXPERIENCE: - Experience with large scale LLM training infrastructure - Strong knowledge of reinforcement learning techniques - Experience with RL numerics COMPENSATION AND BENEFITS: - $180,000 - $440,000 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 our Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on developing and optimizing reinforcement learning training infrastructure for large-scale and production AI workloads. The position involves building distributed systems, improving scalability and observability, and enhancing end-to-end training performance. Candidates should have strong systems engineering skills and experience with modern AI training infrastructure. 🗂️ Requirements: Experience building large-scale distributed systems, Experience debugging and optimizing system efficiency, Ability to solve problems across all levels of the stack, Proficiency in Python, Proficiency in Jax, Proficiency in Rust or C++, Strong communication skills 📃 Skills: Python, Jax, Rust, C++, RL, LLM 🏢 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: The RL infrastructure team is looking for an engineer to help develop our RL training framework. RESPONSIBILITIES: - Design and implement the systems backing all RL workloads at SpaceXAI, from small scale ablations to production training runs. - Profile, debug, and optimize end-to-end training performance - Improve scalability and observability of the RL stack BASIC QUALIFICATIONS: - Experience building, debugging, and optimizing efficiency of large-scale distributed systems - Comfortable diving into unfamiliar areas and solving problems at all levels of the stack - Proficiency in Python, Jax, Rust, and/or C++ PREFERRED SKILLS AND EXPERIENCE: - Experience with large scale LLM training infrastructure - Strong knowledge of reinforcement learning techniques - Experience with RL numerics COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our 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 our Recruitment Privacy Notice.

🏢 Summary: Opportunity to work on the most critical AI product and technical challenges in a hands-on engineering environment focused on truth-seeking AI. The role targets exceptional software engineers who thrive in meritocratic, high-performance teams and contribute directly to mission-critical projects. 🗂️ Requirements: Exceptional software engineering skills, Strong communication skills, Ability to work hands-on in a flat organizational structure, Strong prioritization and work ethic, Interest in truth-seeking AI, Ability to thrive in meritocratic environments 📃 Skills: AI, Software, Engineering 🏢 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. 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: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, 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 our Recruitment Privacy Notice.

🏢 Summary: Opportunity to work on the company’s most critical AI product or technical challenges in a hands-on engineering environment focused on truth-seeking AI. The role targets exceptional software engineers who thrive in meritocratic, high-performance teams and offers strong compensation, equity, and comprehensive benefits. 🗂️ Requirements: Belief in truth-seeking AI, Exceptional software engineering skills, Ability to work in meritocratic environments, Strong work ethic, Strong prioritization skills, Strong communication skills, Hands-on contribution to technical projects 📃 Skills: AI, Software, Engineering 🏢 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: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, 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 our Recruitment Privacy Notice.

🏢 Summary: AI network software engineering role focused on building automation-first tools and services for large-scale GPU supercomputing network fabrics. The position involves developing scalable network management systems, implementing infrastructure-as-code practices, and improving deployment reliability for AI training and inference environments. 🗂️ Requirements: Deep experience collaborating with network engineers, Strong knowledge of network topologies, Strong knowledge of network protocols, Experience designing scalable and reliable software systems, Ability to orchestrate large-scale network devices, Experience with infrastructure-as-code practices, Strong communication skills, Ability to work hands-on in ambiguous environments 📃 Skills: Python, Go, TCP/IP, BGP, RDMA, IaC, Networking, Automation 🏢 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 part of the Network Software and Services for AI (nssAI) team at xAI, you'll build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you'll tackle all facets of network management—metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation—driving automation-first solutions for production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support AI-driven scientific discovery. Focus - Building software and tools with extensive metrics coverage for large GPU supercomputing network fabrics used for AI training and customer inference queries. - Implementing IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across production environments. Preferred Skills and Experience - Deep experience collaborating with network engineers using extensive knowledge of network topologies and network protocols. - Expert knowledge and proven history designing scalable and reliable software systems from the ground up. - Ability to build and orchestrate tens of thousands of network devices efficiently. - Ability to thrive in ambiguity and create metrics that help prioritize team focus. Tech Stack - Python - Go - TCP/IP - BGP - RDMA Annual Salary Range - $150,000 - $250,000 base Benefits - 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: 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.