Research Engineer, Alignment
Run experiments that make large language models more honest, harmless and steerable, turning research findings into production safeguards.
1638 roles across 160 companies — filter by region or category.
Showing 50 of 294 matching positions (1–50)
Clear filtersRun experiments that make large language models more honest, harmless and steerable, turning research findings into production safeguards.
Build the agentic coding tool developers use in the terminal, the IDE and CI, covering tool use, permissions and long-running sessions.
Take custom inference silicon from specification through tapeout and production ramp alongside the model and infrastructure teams.
Optimise serving throughput and latency for frontier models across large GPU fleets.
Build the developer-facing API surface — auth, rate limiting, billing and SDKs — used by millions of applications.
Squeeze latency and cost out of the serving stack behind a consumer answer engine handling very high query volume.
Build multi-step agents that browse, reason over sources and complete tasks on behalf of users.
Ship experiments across onboarding, sharing and subscription flows to move activation and retention.
Build the AI-native editing experience — completions, multi-file edits and review flows — used by professional engineering teams.
Build the query and storage layer of the lakehouse platform, working across Spark, Delta Lake and cloud object storage.
Join a platform team building distributed data systems, with structured mentoring through your first year.
Build the labelling and quality tooling that turns raw data into training sets for frontier model developers.
Scale the model and dataset hub that serves petabytes of artefacts to millions of developers.
Build the AI agent that scaffolds, edits and deploys full applications from a natural-language brief.
Build the enrichment engine that fans a single record out across dozens of data providers and reconciles the results.
Build code completion and chat experiences shipped to millions of developers across editors and the web.
Build the payroll calculation engine that has to be exactly right across dozens of tax jurisdictions.
Build the scheduler and runner infrastructure that executes millions of CI jobs a day.
Work on the Python and MongoDB services behind calling, email sync and reporting for sales teams.
Build subscription and usage-based billing primitives used by companies of every size.
Make builds and deployments faster for millions of frontend projects across the platform.
Build ingestion and query systems handling trillions of log events with predictable cost.
Work on the log aggregation system in Go, focused on query performance at multi-tenant scale.
Work on the browser engine in C++ and Rust, balancing performance, privacy and web compatibility.
Own a product surface end to end — design, build, ship and support it — in a small autonomous team.
Build card issuing, authorisation and controls for corporate spend at high transaction volume.
Build and maintain the integrations that connect financial apps to thousands of institutions.
Build AI writing, search and agent features inside a workspace people use all day.
Design and build features in a small team where engineers own product decisions end to end.
Turn model capabilities into dependable product surfaces across Abridge's healthcare platform, balancing latency, cost and quality.
Ship LLM-powered features into Airbnb's travel platform, from prompt and retrieval design through evaluation and rollout.
Own developer tooling, CI throughput and local environments for the teams building Airbnb's travel platform.
Sit with customers, build the integrations they need on Airbnb's travel platform, and feed the rough edges back to product.
Make the build, test and deploy loop fast for everyone working on Airtable's product suite.
Make the build, test and deploy loop fast for everyone working on Amplitude's analytics platform.
Build agentic workflows and tool-calling systems on top of Cursor (Anysphere)'s developer platform, and own their accuracy in production.
Sit with customers, build the integrations they need on Ashby's product suite, and feed the rough edges back to product.
Turn model capabilities into dependable product surfaces across Ashby's product suite, balancing latency, cost and quality.
Ship LLM-powered features into Automattic's open-source projects, from prompt and retrieval design through evaluation and rollout.
Deliver working implementations of Brex's financial platform inside customer environments.
Turn model capabilities into dependable product surfaces across Bucket Robotics's robotics products, balancing latency, cost and quality.
Make the build, test and deploy loop fast for everyone working on Bucket Robotics's robotics products.
Ship LLM-powered features into Chainguard's security platform, from prompt and retrieval design through evaluation and rollout.
Turn model capabilities into dependable product surfaces across CircleCI's developer platform, balancing latency, cost and quality.
Deliver working implementations of Clerk's developer platform inside customer environments.
Deliver working implementations of ClickHouse's data platform inside customer environments.
Deliver working implementations of Cloudflare's developer platform inside customer environments.
Ship LLM-powered features into CrowdStrike's security platform, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of Databricks's data platform, and own their accuracy in production.
Make the build, test and deploy loop fast for everyone working on dbt Labs's data platform.
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