Careers at Brainco

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. What You'll Work On You'll join the team that owns the Software Factory: the development environments, build systems, CI/CD, and engineering automation that set the ceiling on how fast every other engineer at Brain Co. can ship high-quality software. This is a force-multiplier role: your work compounds as we add teams, services, and customers. You'll shape how engineers develop, test, review, and ship software, combining developer tooling, reliable infrastructure, and AI-assisted workflows to improve speed and quality across Brain Co. Your job is to discover, measure, and remove developer friction. You should be comfortable going from “this workflow is slow or confusing” to instrumented evidence, a shipped improvement, and clear before/after impact. Own developer environments and build infrastructure Own the local development experience, monorepo, build systems, and shared tooling. Make it easy for engineers to set up, develop, and test software, with fast and reliable workflows as the company scales. Build delivery workflows and engineering automation Own CI/CD, PR workflows, code-review automation, and shared tooling for product quality assurance. Integrate AI-assisted development and coding agents where they improve speed and quality, supporting delivery across cloud, regulated, and air-gapped environments. Measure and improve developer experience Discover, measure, and remove friction across the development lifecycle. Combine developer feedback with instrumentation to shorten feedback loops, improve reliability, and demonstrate clear before/after impact. Drive onboarding, enablement, and adoption Help engineers become productive quickly through intuitive tooling, documentation, and practical support. Guide teams through new workflows and migrations, and drive adoption through quality, not mandates. Operate the developer platform as a product Own the full lifecycle: architecture, implementation, rollout, reliability, and iteration based on internal user feedback. Partner closely with engineering, Infrastructure, and Security to build a platform teams trust and want to use. You Might Be a Great Fit If You… We're looking for engineers who treat developer experience as a product — engineers who reach for users, not just specs. Developer Platform & Build Systems Have 3+ years building developer-facing infrastructure: monorepo platforms, build systems, CI/CD, or internal tooling. Have hands-on depth with at least one modern monorepo tool (Nx, Bazel, Pants, Buck, Turborepo) and the willingness to go deeper. Have strong fluency with CI/CD systems at scale (GitHub Actions, Buildkite, CircleCI, or similar): matrix design, caching strategies, secret flow, parallelism. Are fluent in at least two of: Go, Python, TypeScript, Rust, Bash. Have experience building automated testing or code-quality workflows that engineers trust. Platform & Product Mindset Have shipped developer platforms that real engineers adopted. Have measured developer friction and shown clear before/after impact from tooling, CI, build, release, or workflow improvements. Have strong intuition for developer experience, paved paths, and long-term maintainability. Are comfortable owning the full lifecycle: design doc, MVP, hardening, adoption. Can help teams adopt new tools and migrate existing workflows through clear documentation and practical support. Production & Reliability Have owned developer-facing systems with real uptime and operational responsibility. Are familiar with observability tooling and incident response. Bring strong fundamentals in retries, idempotency, queueing, and failure modes for reliable build and automation systems. Ways You Might Stand Out Built or integrated coding agents, automated code review, or AI-assisted testing into engineering workflows, with measurable improvements in speed or quality. Experience with sandboxed code execution, credential scoping, or security controls for development agents. Built or significantly contributed to a remote build cache, custom build system, or hermetic build pipeline (Bazel, Nix, etc.). Led a polyrepo → monorepo (or reverse) migration at scale. Experience applying DORA / SPACE or other DX metrics in practice. Background in release engineering, supply-chain security (SLSA, Sigstore), or artifact management. Built internal PaaS, dev environments, or scaffolding generators. Built shared quality-assurance infrastructure, such as end-to-end test harnesses, Storybook / visual-regression tooling, accessibility checks, or performance budgets across apps. Open-source contributions to Nx plugins, GitHub Actions, coding-agent tooling, or related developer platforms. Exposure to multi-tenant, regulated, or air-gapped deployment environments. Why This Role Matters You'll set the ceiling on how fast every other engineer at Brain Co. can ship. As we grow from a handful of teams to dozens — building AI systems for governments and regulated industries — the platform that lets us move quickly without breaking what matters becomes one of the highest-leverage systems in the company. Benefits Competitive salary plus equity Medical, Dental, and Vision coverage 401(k) Unlimited PTO Daily lunches Commuter benefits

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. About the Role We are looking for a Security Engineer, Detection & Response to build and operate our detection and response capabilities as Brain Co. expands. Reporting directly to the Head of Security, you will partner closely with engineering, infrastructure, infrastructure security, IT, and operational teams to protect our environments and respond effectively to security incidents. This is an engineering-focused builder role rather than a passive alert-monitoring position. You will strengthen our security posture from the ground up: designing high-signal detections, automating triage and investigation workflows, leading cross-functional incident response, and converting incident findings into safer engineering defaults across the company. The program is early enough that your judgment will shape the tooling, workflows, metrics, and operating model—not just the alerts you investigate. You will have significant autonomy to improve signal quality, streamline integrations, and turn incident lessons into stronger engineering defaults across the organization. What You’ll Build & Own Design, build, and maintain automation, playbooks, and systems for timely triage, investigation, and incident response, using sound software engineering practices and modern AI tools where they add value. Develop and refine high-signal detections so security findings are actionable and noise is minimized. Integrate security telemetry and tooling across our cloud and application stack to enable consistent investigation and self-service triage. Lead cross-functional incident response across applications, cloud infrastructure, endpoints, identity, and internal services. Translate incident data and response metrics into secure-by-design improvements alongside product and infrastructure teams. Continuously evaluate response procedures and partner across engineering, infrastructure security, IT, and operational teams to close gaps and improve the operating model. What We’re Looking For Demonstrated capability in security engineering, detection engineering, or incident response. Hands-on experience investigating security incidents or suspicious behavior in complex environments. Practical experience with EDR, SIEM, SOAR, log-management, or equivalent detection-and-response tooling. Ability to write code and build software automation or detections in at least one relevant scripting or query language. Strong understanding of modern cloud infrastructure and SaaS security principles. Sound risk-based judgment when prioritizing threats and operational tasks. Ability to make sound, timely decisions with incomplete information during active incidents. Clear communication and cross-functional collaboration skills during high-pressure situations. Preferred Experience Building self-serve security triage automation or AI-assisted response capabilities. Threat hunting, digital forensics, threat intelligence, or infrastructure-as-code security controls. Investigating complex security events within containerized or Kubernetes-based cloud environments. Translating security incident trends into architectural or systemic engineering improvements. Experience navigating security challenges in fast-paced, high-growth startup environments. On-Call Expectation This position includes participation in a regular on-call rotation to support rapid response to critical security incidents and maintain operational resilience. Equal Opportunity and Accessibility Brain Co. is an equal opportunity employer. We make employment decisions without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other status protected by applicable federal, state, or local law. We provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs - contact [email protected] to request one. Ready to build with us?

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. About the Role We are looking for a Security Engineer, Detection & Response to build and operate our detection and response capabilities as Brain Co. expands. Reporting directly to the Head of Security, you will partner closely with engineering, infrastructure, infrastructure security, IT, and operational teams to protect our environments and respond effectively to security incidents. This is an engineering-focused builder role rather than a passive alert-monitoring position. You will strengthen our security posture from the ground up: designing high-signal detections, automating triage and investigation workflows, leading cross-functional incident response, and converting incident findings into safer engineering defaults across the company. The program is early enough that your judgment will shape the tooling, workflows, metrics, and operating model—not just the alerts you investigate. You will have significant autonomy to improve signal quality, streamline integrations, and turn incident lessons into stronger engineering defaults across the organization. What You’ll Build & Own Design, build, and maintain automation, playbooks, and systems for timely triage, investigation, and incident response, using sound software engineering practices and modern AI tools where they add value. Develop and refine high-signal detections so security findings are actionable and noise is minimized. Integrate security telemetry and tooling across our cloud and application stack to enable consistent investigation and self-service triage. Lead cross-functional incident response across applications, cloud infrastructure, endpoints, identity, and internal services. Translate incident data and response metrics into secure-by-design improvements alongside product and infrastructure teams. Continuously evaluate response procedures and partner across engineering, infrastructure security, IT, and operational teams to close gaps and improve the operating model. What We’re Looking For Demonstrated capability in security engineering, detection engineering, or incident response. Hands-on experience investigating security incidents or suspicious behavior in complex environments. Practical experience with EDR, SIEM, SOAR, log-management, or equivalent detection-and-response tooling. Ability to write code and build software automation or detections in at least one relevant scripting or query language. Strong understanding of modern cloud infrastructure and SaaS security principles. Sound risk-based judgment when prioritizing threats and operational tasks. Ability to make sound, timely decisions with incomplete information during active incidents. Clear communication and cross-functional collaboration skills during high-pressure situations. Preferred Experience Building self-serve security triage automation or AI-assisted response capabilities. Threat hunting, digital forensics, threat intelligence, or infrastructure-as-code security controls. Investigating complex security events within containerized or Kubernetes-based cloud environments. Translating security incident trends into architectural or systemic engineering improvements. Experience navigating security challenges in fast-paced, high-growth startup environments. On-Call Expectation This position includes participation in a regular on-call rotation to support rapid response to critical security incidents and maintain operational resilience. Equal Opportunity and Accessibility Brain Co. is an equal opportunity employer. We make employment decisions without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other status protected by applicable federal, state, or local law. We provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs - contact [email protected] to request one. Ready to build with us?

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. About the Role We are looking for a Security Engineer, Detection & Response to build and operate our detection and response capabilities as Brain Co. expands. Reporting directly to the Head of Security, you will partner closely with engineering, infrastructure, infrastructure security, IT, and operational teams to protect our environments and respond effectively to security incidents. This is an engineering-focused builder role rather than a passive alert-monitoring position. You will strengthen our security posture from the ground up: designing high-signal detections, automating triage and investigation workflows, leading cross-functional incident response, and converting incident findings into safer engineering defaults across the company. The program is early enough that your judgment will shape the tooling, workflows, metrics, and operating model—not just the alerts you investigate. You will have significant autonomy to improve signal quality, streamline integrations, and turn incident lessons into stronger engineering defaults across the organization. What You’ll Build & Own Design, build, and maintain automation, playbooks, and systems for timely triage, investigation, and incident response, using sound software engineering practices and modern AI tools where they add value. Develop and refine high-signal detections so security findings are actionable and noise is minimized. Integrate security telemetry and tooling across our cloud and application stack to enable consistent investigation and self-service triage. Lead cross-functional incident response across applications, cloud infrastructure, endpoints, identity, and internal services. Translate incident data and response metrics into secure-by-design improvements alongside product and infrastructure teams. Continuously evaluate response procedures and partner across engineering, infrastructure security, IT, and operational teams to close gaps and improve the operating model. What We’re Looking For Demonstrated capability in security engineering, detection engineering, or incident response. Hands-on experience investigating security incidents or suspicious behavior in complex environments. Practical experience with EDR, SIEM, SOAR, log-management, or equivalent detection-and-response tooling. Ability to write code and build software automation or detections in at least one relevant scripting or query language. Strong understanding of modern cloud infrastructure and SaaS security principles. Sound risk-based judgment when prioritizing threats and operational tasks. Ability to make sound, timely decisions with incomplete information during active incidents. Clear communication and cross-functional collaboration skills during high-pressure situations. Preferred Experience Building self-serve security triage automation or AI-assisted response capabilities. Threat hunting, digital forensics, threat intelligence, or infrastructure-as-code security controls. Investigating complex security events within containerized or Kubernetes-based cloud environments. Translating security incident trends into architectural or systemic engineering improvements. Experience navigating security challenges in fast-paced, high-growth startup environments. On-Call Expectation This position includes participation in a regular on-call rotation to support rapid response to critical security incidents and maintain operational resilience. Equal Opportunity and Accessibility Brain Co. is an equal opportunity employer. We make employment decisions without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other status protected by applicable federal, state, or local law. We provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs - contact [email protected] to request one. Ready to build with us?

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. About the Co-Op As a Platform Security Engineer Co-Op Intern , you’ll work alongside experienced security, platform, and infrastructure engineers to help build security directly into how Brain Co. develops and ships software. This co-op is designed for current undergraduate students, specifically juniors or seniors , who want hands-on experience securing real production systems. You’ll contribute to projects across CI/CD, cloud infrastructure, Kubernetes, containers, and Infrastructure-as-Code while receiving mentorship through code reviews, design discussions, and hands-on collaboration with the team. This is a builder-focused security role. You’ll learn how security tooling and automated guardrails can make the secure path the easy path for engineers. What You’ll Work On Help build and improve security controls in CI/CD pipelines , including static analysis, secrets scanning, dependency checks, and automated policy enforcement. Contribute to developer-facing security tooling , such as linting rules, reusable workflows, automation, and guardrails. Help secure Kubernetes and containerized workloads , including access controls, image security, workload configuration, and deployment policies. Contribute to security baselines in Terraform and Infrastructure-as-Code , including IAM, networking, encryption, and secure defaults. Work with cloud infrastructure across AWS, GCP, or Azure to identify misconfigurations and improve security visibility. Help automate the detection and remediation of common security issues. Participate in threat modeling, code reviews, and architecture discussions alongside experienced security and platform engineers. Work with engineers to understand security findings and turn them into practical, actionable fixes. Help improve documentation and tooling so security controls are easy for developers to understand and adopt. You Might Be a Great Fit If You… Are a current undergraduate student, specifically a junior or senior , pursuing a degree in Computer Science, Engineering, Cybersecurity, or a related technical field. Have strong software engineering fundamentals through coursework, internships, research, or personal projects. Have experience programming in Python, Go, Java, C++, Bash, or a similar language . Have exposure to or a strong interest in application security, platform security, cloud security, or infrastructure security . Are familiar with or excited to learn technologies such as Kubernetes, Docker, Terraform, GitHub Actions, and AWS/GCP/Azure . Have an interest in how software moves from code to production, including CI/CD, containers, cloud infrastructure, and deployment workflows . Enjoy thinking about how systems can fail, where trust boundaries exist, and how security controls can prevent problems without slowing engineers down. Are curious, proactive, and excited to learn quickly in a fast-paced engineering environment. Enjoy taking ownership of technical problems while learning from experienced engineers. Bonus Points For Coursework, projects, or internship experience involving cloud security, Kubernetes, or Infrastructure-as-Code . Familiarity with security tooling such as OPA, Conftest, Kyverno, Trivy, Semgrep, or similar tools . Experience with secrets management, IAM, or authentication and authorization systems . Interest in software supply chain security , including dependency security, image signing, SBOMs, or secure build pipelines. Experience building developer tools or automation. What You’ll Gain Hands-on experience building security tooling for production AI systems . Practical exposure to CI/CD security, Kubernetes, cloud infrastructure, containers, and Infrastructure-as-Code . Experience designing security controls that fit directly into real engineering workflows. Direct mentorship from experienced security, platform, and infrastructure engineers. Exposure to threat modeling, secure architecture, and software supply chain security. Ownership over meaningful engineering projects that can ship into production. Co-Op Details & Benefits Winter / Spring Co-Op: January 11, 2027 – April 30, 2027 Competitive co-op compensation. Hands-on mentorship from experienced security and infrastructure engineers. Opportunity to work on real production systems used globally. Potential return-offer consideration for future internships or full-time roles. Daily lunches if onsite. Why Intern at Brain Co. Help secure AI systems deployed across governments, healthcare, and other critical industries. Work on security as an engineering problem , not just a policy or compliance exercise. Learn directly from engineers and leaders from Tesla, DeepMind, Databricks, and other top engineering organizations. Build practical experience with the security foundations behind modern production AI systems. Take ownership early and grow quickly through hands-on engineering. Thrive in a culture built on speed, curiosity, and impact. If you’re a current junior or senior who wants to build security into real systems rather than only study vulnerabilities in isolation , Brain Co. is a place to learn, build, and make an impact.

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. About the Co-Op As an AI Platform Engineer Co-Op Intern , you’ll work alongside experienced platform and infrastructure engineers to help build the systems that power Brain Co.’s AI applications in production. This internship is designed for current undergraduate students ( junior or senior ) who want hands-on experience contributing to real production systems, while receiving mentorship through code reviews, design discussions, and hands-on collaboration with the team. You’ll gain hands-on experience with cloud infrastructure, Kubernetes, distributed systems, observability, and the infrastructure behind modern AI workloads. What You’ll Work On Help build and improve Kubernetes- and Terraform-based infrastructure across production and customer environments. Contribute to tooling and automation that makes infrastructure easier and safer for engineers to deploy and operate. Work with cloud infrastructure, networking, CI/CD, and containerized systems . Help build and improve metrics, logging, tracing, dashboards, and monitoring for production services. Investigate performance and reliability issues across distributed systems and AI workloads. Support infrastructure for AI inference, data pipelines, and large-scale backend services . Participate in code reviews, architecture discussions, and technical problem-solving alongside experienced engineers. See the infrastructure you build support real applications used by customers at scale. You Might Be a Great Fit If You… Are a current undergraduate student , specifically a junior or senior , pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field Have strong software engineering fundamentals and experience programming through coursework, internships, research, or personal projects. Have experience with a programming language such as Python, Go, Java, C++, or similar . Have exposure to or an interest in cloud infrastructure, distributed systems, operating systems, networking, or databases . Are familiar with or excited to learn technologies like Kubernetes, Terraform, Docker, AWS/GCP/Azure, and observability tools . Enjoy understanding how systems work under the hood and solving problems involving performance, reliability, and scale . Are curious, proactive, and excited to learn quickly in a fast-paced engineering environment. Enjoy taking ownership of technical problems while learning from experienced engineers. What You’ll Gain Co-Op Details & Benefits Winter / Spring Co-Op: January 11, 2027 - April 30, 2027 Competitive co-op compensation Hands-on mentorship from experienced AI engineers and researchers Opportunity to work on real production systems used globally Potential return-offer consideration for future internships or full-time roles Daily lunches (if onsite)

Our Mission Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model. Why Now Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services. Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact. You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now. About the Co-Op: As an AI/ML Engineer Co-op Intern , you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in healthcare, government, and energy . This internship is designed for current undergraduate students (juniors and seniors) who want hands-on experience applying modern AI techniques—especially large language models—to real-world challenges. You’ll gain exposure to the full ML lifecycle while receiving mentorship and ownership over meaningful projects. What You’ll Do Assist in designing and deploying LLM-powered applications to automate complex, real-world workflows Build and improve data pipelines and support model training, evaluation, and optimization Work with structured and unstructured data (e.g., text, documents, logs) Help prepare models and systems for production deployment and monitoring Collaborate closely with senior engineers, AI researchers, and product teams Learn best practices through code reviews , design discussions, and hands-on mentorship Gain exposure to customer-facing and real-world constraints, including working with public-sector institutions You Might Be a Good Fit If You Are a current undergraduate student , specifically a junior or senior , pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field Have experience programming in Python Have coursework or project experience in machine learning or AI Have exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows) Have used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlow Have strong fundamentals in data structures and algorithms Are curious, proactive, and excited to learn quickly in a fast-paced environment Enjoy owning problems end-to-end with guidance and support Co-Op Details & Benefits Winter / Spring Co-Op: January 11, 2027 - April 30, 2027 Competitive co-op compensation Hands-on mentorship from experienced AI engineers and researchers Opportunity to work on real production systems used globally Potential return-offer consideration for future internships or full-time roles Daily lunches (if onsite)