Unlocking knowledge with AI for smarter organizations
ReflectionAI, headquartered in Brooklyn, New York, provides an AI-driven knowledge management platform that leverages natural language processing to transform unstructured information from meetings, documents, and conversations into a searchable knowledge base. With a focus on enhancing productivity...
Employees at ReflectionAI enjoy competitive salaries, equity options, flexible remote work policies, and generous PTO to maintain a healthy work-life ...
ReflectionAI fosters a culture of innovation and collaboration, encouraging employees to contribute ideas and solutions while prioritizing work-life b...
Reflection • SF
Reflection’s mission is to build open superintelligence and make it accessible to all.
We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Design, build, and operate Reflection’s large-scale GPU infrastructure powering pre-training, post-training, and inference.
Develop reliable, high-performance systems for scheduling, orchestration, and observability across thousands of GPUs.
Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale.
Build tools and automation for distributed training, inference, monitoring, and experiment management.
Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference.
Push the limits of hardware, networking, and software to accelerate the path from idea to model.
Deep systems or infrastructure engineering experience in high-performance or distributed computing environments.
Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang, vLLM, etc.).
Hands-on experience with containerization, orchestration, and cluster management (Kubernetes, Slurm, or similar).
Familiar with modern observability stacks and performance profiling tools.
High agency and the ability to thrive in a fast-paced, high-ownership startup environment.
Excited to build from zero to one defining how frontier-scale training/RL infrastructure is architected and operated.
Motivated by enabling researchers and engineers to build the world’s most capable open-weight AI systems.
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Apply now or save it for later. Get alerts for similar jobs at Reflection.
