Software Engineer - Voice AI (Inference Runtime)

🏢 Summary: Design leadership role focused on building and scaling brand campaigns, visual systems, and product launch communications for AI infrastructure products. The position involves collaborating cross-functionally with marketing, engineering, and leadership to translate complex technical concepts into compelling visual experiences. Candidates should have strong visual design expertise, ownership mindset, and experience working in fast-paced technical environments. 🗂️ Requirements: Exceptional visual design portfolio, Strong attention to detail and design quality, Ability to communicate ideas clearly, Experience leading cross-functional projects, Experience building scalable design systems, Ability to translate complex technical concepts into visual communication, Comfort working in fast-paced environments, Strong understanding of branding and visual identity 📃 Skills: Design, Branding, Marketing, Animation, Motion, Visuals 🏢 Description: ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. THE ROLE - Lead large-scale brand campaigns across digital, events, and out-of-home. - Partner with engineering and product marketing on major product launches. - Turn complex technical ideas into clear, compelling visual communication. - Evolve the Baseten visual identity into a brand system that scales. - Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. - Shape our employer brand and help define how new hires experience Baseten. - Raise the bar for craft across every customer touchpoint. ABOUT YOU - You have a portfolio of exceptional work with outstanding visual craft and attention to detail. - You care deeply about quality and sweat the details. - You communicate ideas clearly and thrive in collaborative environments. - You know when to build systems, not just execute on assets. - You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. - You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. - You thrive in a fast-moving environment with a high bar for quality. - You have strong opinions about design and can articulate why something works — and why it doesn't. BONUS - Motion design and animation experience. - Experience designing for developers or highly technical audiences. BENEFITS - Competitive compensation, including meaningful equity. - 100% coverage of medical, dental, and vision insurance for employee and dependents. - Flexible PTO policy including company wide Winter Break. - Paid parental leave. - Fertility and family-building stipend through Carrot. - Company-facilitated 401(k). - Exposure to a variety of ML startups, offering learning and networking opportunities. Compensation Range: $100K - $175K

🏢 Summary: Senior Frontend Engineer role focused on building performant, scalable, and user-friendly web interfaces for a core AI platform. The position involves owning critical parts of the frontend stack, collaborating cross-functionally, and driving major product initiatives that enable users to deploy and manage AI systems at scale. The role emphasizes React, TypeScript, and modern web technologies to deliver high-quality production-grade applications. 🗂️ Requirements: 5+ years building production-grade web applications, Expertise in React, Expertise in TypeScript, Experience with modern web development tooling, Experience building performant and scalable UIs, Experience working in cross-functional product teams, Strong communication and collaboration skills 📃 Skills: React, TypeScript, JavaScript, HTML, CSS, WebSockets, Tailwind, Next.js 🏢 Description: ABOUT BASETEN Baseten powers mission-critical inference for leading AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling to bring cutting-edge models into production. THE ROLE We’re looking for a Senior Frontend Engineer to craft performant and delightful user experiences across the core platform. You’ll own critical parts of the web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale. EXAMPLE INITIATIVES - Chains for multi-component workflows - Asynchronous inference - Model APIs for frontier models - Model training built for production inference RESPONSIBILITIES - Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript - Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs - Optimize application performance and reliability, with a focus on rendering speed and responsiveness - Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows - Establish best practices and mentor other engineers on frontend technologies - Build reusable component libraries and frontend infrastructure that accelerate product development - Partner with backend and platform teams to define and refine APIs and end-to-end flows REQUIREMENTS - 5+ years of experience building production-grade web applications - Deep expertise in React, TypeScript, and modern web development tooling - Track record of building well-crafted, performant, and scalable UIs - Strong product intuition and empathy for the user experience - Experience working in cross-functional product teams in a fast-paced environment - Excellent communication and collaboration skills NICE TO HAVE - Familiarity with Tailwind CSS, Next.js, or other modern frontend frameworks - Background in developer tools or data/ML infrastructure products - Experience with WebSockets, real-time data, or custom visualization tooling - Contributions to open-source projects or public engineering work BENEFITS - Competitive compensation, including meaningful equity - 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (offices closed from Christmas Eve to New Year's Day) - Paid parental leave - Fertility and family-building stipend through Carrot - Company-facilitated 401(k) - Exposure to a variety of ML startups, offering learning and networking opportunities Compensation Range: $190K - $300K

🏢 Summary: Senior individual contributor role responsible for defining and scaling the sales operating model, methodology, and enablement framework to make the sales motion clear, repeatable, and effective. The position focuses on designing sales processes, improving pipeline and forecast rigor, delivering training, and driving adoption across cross-functional teams. The role partners closely with sales leadership and RevOps to improve qualification, deal progression, and overall sales execution. 🗂️ Requirements: Experience defining and implementing sales operating models, Proven ability to design sales stages, qualification standards, and pipeline processes, Strong knowledge of sales methodologies such as MEDDIC, MEDDPICC, Command of the Message, Challenger, Experience delivering sales training and coaching managers and reps, Ability to drive cross-functional alignment between Sales, RevOps, Product, Marketing, and Support, Experience improving forecast accuracy, pipeline quality, and win rates, Background in sales, sales enablement, RevOps, sales strategy, or sales transformation 📃 Skills: MEDDIC, MEDDPICC, CRM, PipelineManagement, Forecasting, SalesEnablement, RevOps, AccountPlanning 🏢 Description: ABOUT BASETEN Baseten powers mission-critical inference for leading AI companies by combining applied AI research, flexible infrastructure, and developer tooling to help teams bring cutting-edge models into production. THE ROLE The Field Productivity & Enablement Lead is responsible for making the sales motion clear, practical, and repeatable. This senior individual contributor defines how the company sells, how managers run the business, how reps qualify and advance deals, and how sales collaborates with FDE, product, marketing, and support. The role shapes the system and builds the playbooks, training, and coaching required to ensure consistent execution. RESPONSIBILITIES Manage operating model. Define core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Establish clear expectations for deal inspection, rep coaching, and consistency. Sales process and stage design. Partner with sales leadership and RevOps to define stages, exit criteria, qualification standards, and pipeline mechanics. Ensure CRM and tooling reinforce the process. Cross-functional engagement. Clarify how sales works with FDE, solutions architects, product, marketing, and customer support. Define handoffs and decision points to avoid confusion and duplicated effort. Methodology, skills, and training. Codify the sales methodology and build the associated training. Deliver enablement sessions and coach managers and reps to improve qualification, deal progression, and account planning. Behavior change and adoption. Measure adoption of the sales process and identify areas for improvement to enhance ramp time, pipeline quality, forecast accuracy, and win rates. REQUIREMENTS Strong understanding of effective sales execution and ability to translate it into structured systems. Ability to diagnose sales process gaps and redesign frameworks. Credibility with sales leaders, managers, and reps. Experience driving change across functions. Background in sales leadership, enablement, RevOps, sales strategy, or consulting. BENEFITS Competitive compensation including meaningful equity. 100% coverage of medical, dental, and vision insurance for employees and dependents. Flexible PTO policy including company-wide Winter Break. Paid parental leave. Fertility and family-building stipend. Company-facilitated 401(k). Exposure to a variety of ML startups. Compensation Range: $185K - $205K

🏢 Summary: Founding Engineer role focused on building and deploying real-time speech-to-text systems for military and emergency units operating in constrained environments. You will work closely with founders to design and implement low-latency Voice AI solutions in Python, owning projects end-to-end in high-stakes, resource-limited conditions. The position offers significant ownership, equity, and the opportunity to deliver production systems used directly in the field. 🗂️ Requirements: Experience implementing Voice AI systems in compute-, connectivity-, or latency-constrained environments, Experience with audio processing and real-time, low-latency systems, Strong Python programming skills, Ability to build and ship production systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, Speech-to-text, Audio, Real-time, Low-latency, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Founding engineer role focused on building and deploying bespoke real-time speech-to-text systems for military and emergency units operating in constrained, high-stakes environments. The position involves evolving the early technical stack and delivering low-latency Voice AI solutions in Python that are used directly in the field. You will own end-to-end development in a fast-moving, early-stage setting with real operational impact. 🗂️ Requirements: Experience implementing Voice AI systems in compute- or latency-constrained environments, Strong experience with real-time audio processing systems, Proficiency in Python for production systems, Experience building low-latency systems, Ability to design and ship systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, SpeechToText, AudioProcessing, RealTimeSystems, LowLatency, MachineLearning, SignalProcessing 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Backend-focused engineering role building and shipping scalable, low-latency voice AI features for Grok across iOS, Android, and other product surfaces. The position involves collaborating with model, media, and product teams to deliver high-quality voice experiences at global scale using Python or Rust. 🗂️ Requirements: Proficiency in Python or Rust, Backend engineering experience, Experience building scalable low-latency systems, Hands-on experience shipping features on iOS and/or Android, Strong interest in voice/audio AI, Ability to collaborate across product groups, Strong communication skills 📃 Skills: Python, Rust, iOS, Android, AI, Audio, Backend 🏢 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 Grok Voice Product team builds seamless, world-class voice experiences for Grok across every platform and product surface. In this role, you will be responsible for designing, building, and shipping voice features across all surfaces. You will have the opportunity to collaborate across iOS, Android, and all product groups. RESPONSIBILITIES: - Own backend engineering for scalable, low-latency voice infrastructure and model integrations. - Collaborate directly with Grok Voice model, media, and product teams to deliver end-to-end experiences. - Drive performance, reliability, and quality of voice interactions at global scale. - Move fast across platforms and product groups as a generalist. BASIC QUALIFICATIONS: - Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code. - Deep interest in voice/audio AI. - Strong generalist engineer with backend focus. - Hands-on experience shipping features on iOS and/or Android. - The ability to work across all product groups and do whatever it takes for best user experience. PREFERRED SKILLS AND EXPERIENCE: - Background in AI-driven consumer products or media generation technologies. - Track record collaborating across engineering, research, and product teams to ship delightful features quickly. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - 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 our Recruitment Privacy Notice.

🏢 Summary: High-impact engineering role focused on building and optimizing large-scale AI inference systems for serving Grok at massive scale. The position involves distributed infrastructure, GPU-level optimization, inference acceleration, and reliability engineering for high-concurrency production environments. Candidates will work end-to-end on scalable model serving, CI/CD infrastructure, and next-generation inference optimization. 🗂️ Requirements: Deep low-level systems programming in C/C++ or Rust, Experience with large-scale high-concurrency production serving, Experience with GPU inference engines, Strong background in batching, caching, load balancing, and parallelism, Experience with GPU kernels and code generation, Knowledge of quantization, speculative decoding, distillation, and low-precision numerics, Experience with testing, benchmarking, and reliability of inference services, Experience designing and implementing CI/CD infrastructure for inference 📃 Skills: C++, Rust, vLLM, SGLang, Triton, TensorRT-LLM, GPU, CI/CD, Quantization, Distillation, Caching, Batching, Parallelism, Load-balancing, Autoscaling 🏢 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 are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale. Responsibilities: - Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). - Optimize latency and throughput of model inference under real production workloads. - Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. - Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). - Develop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels. - Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. - Accelerate research on scaling test-time compute, RL rollout, and model-hardware co-design for next-generation systems. Basic Qualifications: - Deep low-level systems programming (C/C++ or Rust) - Experience with large-scale, high-concurrent production serving - Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.) - Strong background in system optimizations: batching, caching, load balancing, parallelism - Low-level inference optimizations: GPU kernels, code generation - Algorithmic inference optimizations: quantization, speculative decoding, distillation, low-precision numerics - Experience with testing, benchmarking, and reliability of inference services - Experience designing and implementing CI/CD infrastructure for inference Compensation and Benefits: - $180,000 - $440,000 USD - Equity compensation - 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: Senior DevOps / Platform Engineer role focused on owning deployment, reliability, and operational excellence for a Voice AI product in production. The position emphasizes hands-on infrastructure, CI/CD, observability, and running AI-heavy voice systems at scale. The engineer will independently improve production systems, developer workflows, and operational standards. 🗂️ Requirements: Senior-level experience in DevOps, Platform Engineering, SRE, or Infrastructure Engineering, Strong cloud experience with AWS, Azure, or similar, Hands-on experience with Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong knowledge of reliability, observability, and incident response practices, Experience operating production systems, Ability to work across infrastructure and backend layers, Experience using AI tools in daily engineering workflows, On-site work in Warsaw 📃 Skills: AWS, Azure, CI/CD, IaC, SRE, DevOps, STT, TTS, STS, Observability, Infrastructure, Cloud, AI 🏢 Description: About Shelf Shelf builds software that helps enterprises make AI work in the real world. For our Voice AI product, that means reliable runtime systems, strong deployment paths, and production infrastructure that lets engineering teams move fast without creating operational chaos. About the role This role is for a senior DevOps / platform engineer who can independently own how our Voice AI product ships and runs. You will work directly with the team building our Voice AI product rather than as part of a generic centralized Platform function. The job is to make deployment, reliability, observability, and operational quality materially better. That includes infrastructure, CI/CD, environments, incident follow-through, and the practical realities of running AI-heavy systems in production. Real hands-on experience deploying voice-related systems such as STT, TTS, or STS workloads is a strong plus because it is highly relevant to the direction of the work. Location – Warsaw, work from the office What You Will Own Improve how Voice AI services are deployed, run, observed, and supported in production. Build and maintain infrastructure as code, CI/CD flows, environment setup, and paved paths that reduce developer friction. Strengthen observability with better logs, metrics, traces, dashboards, and alerts. Improve reliability through better operational standards, incident handling, post-incident follow-through, and practical SLO thinking. Work across application and infrastructure boundaries when that is what the problem requires. Reduce recurring toil through automation, documentation, and better defaults. Make sound trade-offs around cost, security, performance, and speed. Use AI tools aggressively and well to increase your own leverage and improve engineering workflows. What Strong Performance Looks Like The Voice AI team can ship faster and with fewer avoidable operational issues because of your work. The systems you touch become easier to understand, easier to operate, and easier to trust. You do not need heavy management to create momentum; you find important gaps and close them. You handle real production problems without drama and improve the system after the immediate issue is over. What We Are Looking For Strong senior-level experience in platform engineering, DevOps, SRE, infrastructure engineering, or a similar hands-on role. Strong cloud and infrastructure fundamentals in AWS, Azure, or a comparable environment. Real experience with infrastructure as code and modern delivery pipelines. Strong operational judgment around reliability, observability, incident response, and production systems. Comfort moving across layers: infrastructure, backend services, developer workflows, and operational tooling. Clear communication and strong written habits, especially around runbooks, postmortems, and technical decision making. AI-native working style. You already use AI tools in daily engineering work and think in terms of leverage, automation, and better workflows. Strong Plus Real hands-on experience deploying or operating STT, TTS, STS, or similar voice-model workloads. Experience improving developer experience for product teams, not just operating infrastructure in isolation. Experience with security, access control, compliance-minded infrastructure, and pragmatic operational guardrails. Ability to debug problems that cut across application code, infrastructure, and third-party systems. How We Evaluate Fit We care more about independent ownership, systems judgment, and practical operating ability than about a perfect keyword match to every tool we use. If you are the kind of engineer who can step into a messy production environment and make it calmer, faster, and more reliable, we want to talk. What Shelf Offers B2B contract Company Stock Options Hardware: MacBook Pro Modern technical stack . Develop open-source software Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools Why Shelf: GenAI will be at least a $4 Trillion market by 2032 and Shelf is a core infrastructure that enables GenAI to be deployed at scale Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan We've been helping our customers prevent knowledge mismanagement since our founding in 2017 We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

🏢 Summary: Role focused on solving critical AI modeling challenges within a hands-on, high-performance environment centered on building highly useful truth-seeking AI systems. Candidates are expected to contribute directly, communicate effectively, and thrive in a meritocratic culture with strong ownership and prioritization. 🗂️ Requirements: Belief in truth-seeking AI systems, Experience as a power user of AI models, Strong communication skills, Hands-on contribution mindset, Strong prioritization skills, Ability to thrive in meritocratic environments, Focus on building useful AI models 📃 Skills: AI, Modeling 🏢 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 modeling challenges 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 are obsessed about building incredibly useful models. You are a power user of AI models. If you previously trained models used by millions of people it's a big plus, but modeling experience is not required. You take pride in your work and thrive in meritocratic environments. COMPENSATION AND BENEFITS: $180,000 - $600,000 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. Equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Role focused on solving critical AI modeling challenges in a hands-on, high-performance environment with strong emphasis on useful AI systems and engineering excellence. Candidates will work on impactful projects with clarity on initial responsibilities before receiving an offer. The position offers high compensation, equity, and comprehensive benefits. 🗂️ Requirements: Belief in truth-seeking AI systems, Experience as a power user of AI models, Strong communication skills, Hands-on engineering mindset, Ability to thrive in meritocratic environments, Strong work ethic, Strong prioritization skills 📃 Skills: AI, Modeling, 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 modeling challenges 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 are obsessed about building incredibly useful models. You are a power user of AI models. If you previously trained models used by millions of people it's a big plus, but modeling experience is not required. You take pride in your work and thrive in meritocratic environments. COMPENSATION AND BENEFITS: $180,000 - $600,000 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. Equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.