Reflection

Member of Technical Staff Research Software Engineer

Data Pipelines Distributed Systems Distributed Training Machine Learning Reinforcement Learning

Research software engineer at Reflection who architects and optimizes large-scale reinforcement-learning training infrastructure — distributed GPU systems, training loops, and data pipelines — turning research ideas into reliable, reproducible production systems.

Member of Technical Staff Post Training

Distributed Systems LLM Machine Learning Reinforcement Learning

A research-engineering role on Reflection's post-training team: you build systems that turn pre-trained LLMs into aligned, general agents, developing data-generation pipelines, reward models, reinforcement-learning algorithms, and inference-time scaling techniques while collaborating across pre-training and post-training efforts.

Member of Technical Staff Platform Foundations

CI/CD Cloud Networking Observability

Platform/infrastructure engineer on the Foundations team: builds and operates cloud, networking, security, CI/CD, and observability infrastructure, ships secure defaults and guardrails, and drives cloud cost optimization to keep engineering reliable and scalable.

Member of Technical Staff Engineering Lead Shared Services

Reflection AI is hiring an engineering lead to build and mentor a systems engineering team creating shared services that power its research and model-training work. The role blends people leadership, distributed-systems architecture, and hands-on coding to turn research and training needs into reliable platform primitives.

Member of Technical Staff Engineering Lead Platform Foundations

CI/CD Cloud Kubernetes Networking Observability +3 skills

Lead platform foundations at Reflection AI: build and mentor an infrastructure engineering team, guide cloud, networking, security, and developer-infrastructure architecture, and make hands-on contributions using tools like Terraform, Kubernetes, and CI/CD while managing cloud and infrastructure vendors.

Member of Technical Staff Engineering Lead Data Platform

Data Engineering Data Ingestion Data Quality

Leads and grows a data platform engineering team at Reflection AI, setting technical direction for data ingestion, orchestration, processing, storage, quality, lineage, and governance while staying hands-on with architecture and code to support research, training, and production workloads.

Member of Technical Staff Engineering Lead Compute Platform

Cloud Kubernetes Vendor Management

Lead a systems engineering team building and operating a Kubernetes-based multi-cloud compute platform for AI training workloads. Day to day: guide architecture, own fleet reliability, mentor engineers, contribute hands-on, and manage GPU/vendor relationships.

Member of Technical Staff Engineering Lead Applications

Reflection is hiring an Engineering Lead for Applications: a hands-on engineering manager who builds and mentors a ~10-person full-stack team, guides architecture, and delivers internal and customer-facing product surfaces across UI, API, authentication, and external system integrations.

Member of Technical Staff Distributed Systems Engineer

Reflection AI is hiring a Member of Technical Staff (Distributed Systems Engineer) in New York, San Francisco, or London to build and operate shared services, APIs, SDKs, and internal platforms supporting AI research and production workflows, with a focus on reliability via SLIs/SLOs, performance under load, and reducing operational burden through tooling.

API Distributed Systems

Member of Technical Staff Data Platform

Data Engineering Data Quality

Data platform engineer at Reflection AI designing ingestion, orchestration, storage, and compute foundations for large-scale batch and streaming pipelines, with data quality, governance, and cost/performance ownership to power a unified data layer for model research, training, and production.

Member of Technical Staff Compute Platform

Builds and maintains the compute platform for large multi-GPU fleets at an AI company: tooling for automated remediation, topology-aware scheduling, capacity planning, and hardware debugging, plus cluster-wide monitoring, benchmarking, storage replication, and GPU networking. Core stack: Kubernetes, NCCL, GPU/cloud infrastructure.

Member of Technical Staff Applications

Reflection is hiring a Member of Technical Staff (Applications) in New York, San Francisco, or London to build dashboards, admin tools, self-service workflows, and customer-facing product surfaces — owning end-to-end delivery across UIs, APIs, authentication, RBAC, and audit trails, and turning early prototypes into production components.

API Authentication RBAC

Member of Technical Staff Data Flywheel

Data Ingestion Data Pipelines LLM Machine Learning Reinforcement Learning

Member of Technical Staff on Reflection's Data Flywheel team (New York, London, or San Francisco) who sources high-value data, designs evaluations, graders, and reward signals, analyzes LLM failure modes, and builds data pipelines that turn human and synthetic data programs into measurable model improvements.

New On-siteNorth AmericaC-level

Head of Marketing

New On-siteNorth AmericaLead

You will develop the overall marketing strategy and roadmap, establish the marketing operating model, build and lead the function, oversee campaigns and channels, develop audience strategies, manage planning and…

Forward Deployed Engineer Lead LLM Post-training

Data Pipelines Distributed Training LLM Reinforcement Learning Version Control

Leads customer LLM post-training engagements end to end, from data assessment through training and deployment. Daily work centers on building reinforcement-learning environments, synthetic-data and evaluation pipelines, running distributed training on GPU clusters, and mentoring engineers.

Agentic AI AI CI/CD Cloud Docker +9 skills

Forward Deployed Engineer Lead AI Engineer

New On-siteAPACLead

South Korea

Lead forward-deployed AI engineer who owns the technical delivery of enterprise agentic applications: partnering with sales and deployment strategists, architecting LLM workflows, fine-tuning models, and deploying solutions across cloud, VPC, and on-prem environments. Core stack includes Python, TypeScript, Docker, Kubernetes, and the LLM/RAG/agent toolchain.

New On-siteNorth AmericaLead

Forward Deployed Engineer Lead AI Engineer

Agentic AI AI CI/CD Cloud Docker +9 skills

Leads technical delivery of enterprise agentic AI applications: architecting LLM/agent systems, deploying them across cloud, VPC, and on-prem environments, and collaborating with research on model adaptation. Core stack includes Python, TypeScript, Docker/Kubernetes, CI/CD, RAG pipelines, and agent orchestration.

Forward Deployed Engineer LLM Post-training

New On-siteNorth America

Data Pipelines Fine Tuning Machine Learning Python RLHF +1 skills

Reflection is hiring a Forward Deployed Engineer for LLM post-training who fine-tunes open-weight language models for customer use cases — preparing and pipelining datasets, configuring and debugging training runs, building evaluation infrastructure, and deploying models across hybrid environments. Core stack: Python, GPU compute, and techniques like SFT, DPO, and RLHF.

New On-siteAPAC, North America

Forward Deployed Engineer AI Engineer

Forward Deployed Engineer who architects, builds, and deploys agentic AI systems for enterprise customers in Seoul — orchestrating LLM workflows, integrating enterprise infrastructure, fine-tuning models, and supporting cloud, VPC, and on-prem deployments. Core stack includes Python, TypeScript, Docker, Kubernetes, and RAG/agent tooling.

Agentic AI AI CI/CD Cloud Docker +9 skills