Reflection AI

1 day ago

Member of Technical Staff - Research Software Engineer - Safety Evaluations Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build and own secure, sandboxed infrastructure that powers sensitive safety evaluations, including CBRN and child-safety use cases. Design controlled data pipelines with least-privilege access, encryption, audit logging, and data-minimization safeguards. Create evaluation orchestration tooling for high-throughput runs in isolated environments, and integrate measurement results into systems that inform release decisions—while continuously improving security, reliability, and developer experience.

Location: New York, San Francisco, London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and build secure, sandboxed infrastructure for running sensitive model evaluations, including CBRN and other dangerous-capability domains.
•Build controlled data pipelines and storage for sensitive evaluation material with least-privilege access, RBAC, encryption, audit logging, and data-minimization safeguards.
•Partner with safety researchers and domain experts to translate evaluation designs into reliable, reproducible, and scalable systems.
•Build eval-orchestration tooling and harnesses for high-throughput evaluations in isolated environments.
•Implement guardrails, monitoring, and compartmentalization to keep sensitive work appropriately siloed across compute, data, and tooling.

Pay and Benefits

Perks:EquityHealth InsuranceDentalVisionLife InsuranceParental LeavePaid LeaveWellness StipendMeal AllowanceRemote Work

Key Requirements

•Strong software engineering skills, particularly in Python, with a track record building reliable, scalable infrastructure or platform systems.
•Experience building sandboxed/isolated security-sensitive execution environments (e.g., containerization, VM isolation, secure compute).
•Grounding in security engineering fundamentals: least privilege, need-to-know access, RBAC, secrets management, encryption, audit logging, compartmentalization, and defense-in-depth.
•Experience building data pipelines and handling sensitive or restricted data with appropriate safeguards.
•Ability to own problems end-to-end, including ambiguous, cross-functional ones.

Experience:Trust and SafetyML evaluationLLMsAgentsDangerous-capabilityDual-use

Skills:High ownershipCross-functional collaborationDiscretionIntegrityBias toward action

Tech Stack:PythonContainerizationVM isolationSecure computeRBACSecrets managementEncryptionAudit loggingData-minimizationSandboxed executionVMLLMsAgents

Company Brief

Reflection AI

Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor

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Reflection AI

1 day ago

Member of Technical Staff - Research Software Engineer - Safety Evaluations Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: New York, San Francisco, London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and build secure, sandboxed infrastructure for running sensitive model evaluations, including CBRN and other dangerous-capability domains.
•Build controlled data pipelines and storage for sensitive evaluation material with least-privilege access, RBAC, encryption, audit logging, and data-minimization safeguards.
•Partner with safety researchers and domain experts to translate evaluation designs into reliable, reproducible, and scalable systems.
•Build eval-orchestration tooling and harnesses for high-throughput evaluations in isolated environments.
•Implement guardrails, monitoring, and compartmentalization to keep sensitive work appropriately siloed across compute, data, and tooling.

Pay and Benefits

Perks:EquityHealth InsuranceDentalVisionLife InsuranceParental LeavePaid LeaveWellness StipendMeal AllowanceRemote Work

Key Requirements

•Strong software engineering skills, particularly in Python, with a track record building reliable, scalable infrastructure or platform systems.
•Experience building sandboxed/isolated security-sensitive execution environments (e.g., containerization, VM isolation, secure compute).
•Grounding in security engineering fundamentals: least privilege, need-to-know access, RBAC, secrets management, encryption, audit logging, compartmentalization, and defense-in-depth.
•Experience building data pipelines and handling sensitive or restricted data with appropriate safeguards.
•Ability to own problems end-to-end, including ambiguous, cross-functional ones.

Experience:Trust and SafetyML evaluationLLMsAgentsDangerous-capabilityDual-use

Skills:High ownershipCross-functional collaborationDiscretionIntegrityBias toward action

Tech Stack:PythonContainerizationVM isolationSecure computeRBACSecrets managementEncryptionAudit loggingData-minimizationSandboxed executionVMLLMsAgents

Company Brief

Reflection AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor