Reflection ai

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build on. We are building open models that empower individuals to control their intelligence and shape the future of AI. As a Member of Technical Staff - Multilingual Data, you will play a crucial role in designing and operating large-scale multilingual data pipelines, ensuring the quality and efficiency of our data for advanced language model development. This role involves leading research projects, collaborating on significant initiatives, and driving measurable improvements in multilingual capabilities.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build upon. We develop open models that empower individuals and organizations to control their intelligence and shape the future of AI. This role partners with governments, sovereign-backed enterprises, and major conglomerates to establish region-scale AI infrastructure and inference businesses. These significant deals require strategic commercial leaders adept at structuring complex agreements, navigating intricate organizational landscapes, and aligning technical capabilities with robust business models across infrastructure, deployment, distribution, and expansion.

Reflection ai

Reflection is building the trusted data backbone for the world's most capable open-weight AI systems. The Data Platform team builds and operates the core data systems and pipelines that power our research, training, and production environments, unifying ingestion, processing, and orchestration across the entire data lifecycle. We are seeking a front-line technical leader to build, mentor, and grow this team, guiding its technical direction while remaining hands-on. This role is for someone who has earned deep technical credibility as an engineer and now multiplies it through a team, working closely with our research team to understand the needs of high-velocity experimentation and translate them into reliable, reproducible, scalable data infrastructure.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. The Data Flywheel team plays a crucial role in bridging the gap between theoretical benchmark performance and practical, real-world utility. We achieve this by identifying and developing the signals, data, and feedback mechanisms that transform model usage into rigorous evaluations, targeted training data, and measurable advancements for future AI generations. This is a hands-on technical position situated at the nexus of research and deployment, where you will guide ambiguous model behaviors from initial observation through measurement, intervention, and validated improvement. You will collaborate across evaluation, human and synthetic data, infrastructure, post-training, and live deployment aspects, working closely with internal researchers and engineers, as well as external customers, partners, vendors, and the open-source community.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build on. We are building open models that empower individuals to control their intelligence and shape the future of AI. As a Member of Technical Staff - Post-Training, you will play a crucial role in transforming powerful pre-trained models into aligned and general agents. This position involves driving research and engineering initiatives at the forefront of post-training techniques, from data curation to large-scale optimization, and contributing to the advancement of large model reasoning and instruction following capabilities.

Reflection ai

Reflection is seeking a Research Software Engineer for its Safety team to design, build, and own the infrastructure for sensitive model evaluations, including those in CBRN, child safety, and dangerous-capability domains. This role is critical for informing model release decisions, requiring systems that are secure, isolated, reproducible, and trustworthy. It's a deeply technical position at the intersection of platform engineering, security, and safety research, involving close collaboration with domain experts, legal, and safety researchers to develop robust, scalable infrastructure. This includes creating sandboxed execution environments, controlled data pipelines for sensitive material, access controls, audit logging, and tooling for researchers to safely measure model capabilities in high-consequence areas.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are building open models that empower individuals to control their intelligence and shape the future of AI. This role focuses on building and operating the company-wide foundations platform, providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling. The team designs and implements core data systems and pipelines that power research, training, and production environments, enabling high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

Reflection ai

Reflection is seeking a Platform Foundations Lead to build and operate the foundational layer that all engineering teams depend on. This includes cloud and multi-cloud infrastructure, networking, security, and developer tooling. The role involves leading a team of infrastructure engineers, guiding technical and architectural decisions, and working closely with other engineering teams. You will also manage cloud and infrastructure vendors and contribute as an individual contributor to stay close to the technical stack.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their intelligence and shape the future of AI. The Head of Technology & Security Engineering will architect and operate the security engineering foundation protecting our corporate environment, multi-cloud research infrastructure, and significant GPU training capacity. This leadership role encompasses the full technical security stack, from end-user compute and zero-trust access to cloud security, detection engineering, and security-as-code, enabling rapid research progress without compromising rigor. Positioned at the intersection of security engineering, infrastructure, and research operations, this role is crucial for safeguarding sensitive assets like model weights, training data, and GPU capacity, while maintaining a low-friction environment for researchers and engineers. The ideal candidate possesses deep technical expertise and executive presence to lead the security engineering function, represent the company's security posture, and manage vendor and contractual risks.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. As a Member of Technical Staff on the Data Team, you will be instrumental in building and operating the ingestion systems that transform large-scale data sources, such as the open web, into reliable corpora for training frontier AI models. This role involves owning the machinery for data acquisition, extraction, normalization, versioning, and delivery to pre-training pipelines. You will collaborate closely with world-class researchers, contributing to the critical link between data collection and its impact on model performance. This position is ideal for engineers who excel at building robust distributed systems while also enjoying experimentation, reasoning about data acquisition tradeoffs, and iterating quickly based on measurable outcomes.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. As a Member of Technical Staff on the Data Team, you will be instrumental in building and operating large-scale web crawling systems. These systems are crucial for discovering, acquiring, and processing internet content, directly influencing the capabilities of frontier AI systems. You will own the infrastructure for web-scale data collection, from initial URL discovery to distributed crawling and dataset delivery, working closely with researchers to identify and acquire high-value content efficiently. This role is perfect for engineers passionate about distributed systems, large-scale crawler optimization, and tackling the unique challenges of modern web data collection.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone. We build open-weight AI systems that serve as a foundational intelligence layer for researchers, developers, and enterprises. This role is crucial for building and owning Reflection's presence within the key communities of researchers and developers, who are our earliest adopters and a core distribution channel for frontier AI. We are seeking an individual with a deep understanding of these communities, a clear vision for engagement, and the ability to authentically represent Reflection as a passionate participant in the AI ecosystem.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build on. We are seeking an exceptional technical lead to build and scale our Forward Deployed Engineering function within the AI Solutions team. This role is critical in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are seeking a core member for our Applied AI team to lead Forward Deployed Engineering efforts with enterprise customers. This role involves translating advanced AI research into high-impact, real-world applications, owning the technical strategy and delivery of agentic systems from discovery to production launch.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone to use, customize, and build on. We are seeking an exceptional technical lead to build and scale our Forward Deployed Engineering function within the AI Solutions team. This role is critical in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. This role is foundational, focusing on building model evaluation and safety functions from the ground up. The Research Program Manager will be a key leader, driving clarity, decision-making, and coherence across teams. This is a 0-to-1 opportunity to define evaluation frameworks, build operational infrastructure for model safety, and establish processes that integrate safety into the model development lifecycle.

Reflection ai

Reflection.AI is seeking a Member of Technical Staff - Security Software Engineer to establish our Application Security function from the ground up. This role offers significant autonomy to design and implement solutions across various Security Engineering projects, including AI agent incident detection and response, and internal AI agents. The ideal candidate is a self-starter who excels in high-ownership, low-structure environments and possesses a strong "0 to 1" mindset, ready to build and innovate within a talent-dense team focused on making intelligence open and accessible.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open-weight models that empower users to control their AI and shape its future. As a core member of the Applied AI team, you will drive model fine-tuning and evaluations for enterprise customers. This role involves adapting our open-weight models for specific customer domains, tasks, and constraints, working hands-on with customer data, running fine-tuning workflows, building evaluation harnesses, and deploying adapted models to production. You will collaborate directly with customers to understand their needs and with research teams to advance the possibilities of AI.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their intelligence and shape the future of AI. As a Member of Technical Staff focused on Mid-Training Infrastructure, you will be instrumental in designing, building, and operating large-scale GPU infrastructure crucial for high-throughput model inference and mid-training workloads. This role involves developing systems that support synthetic data generation and reinforcement learning pipelines at scale, as well as building high-performance inference platforms capable of serving and evaluating models across thousands of GPUs.