Poolside

20 hours ago

Member of Engineering (Experiment Platform)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build a greenfield Experiment Platform that connects research systems to help frontier models get built faster. Own backend services powering the API gateway, research services, and developer-facing experiences like APIs, data models, dashboards, and the Experiment CLI. Partner with researchers and infrastructure teams to translate workflows into platform capabilities, improve experiment lineage, and drive adoption across the research lifecycle.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build robust backend services primarily using Python and Go to power the API Gateway and Experiment Platform.
•Partner with researchers, infrastructure teams, and agent platform engineers to translate research workflows into intuitive APIs, data models, and developer experiences.
•Deliver the Experiment CLI to drive adoption of agent-native research workflows.
•Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics.

Pay and Benefits

Perks:Remote WorkHealth InsurancePaid LeaveHome OfficeCompany EquipmentLearning Budget

Key Requirements

•Proven experience building production APIs, distributed systems, or platform infrastructure.
•Strong engineering fundamentals across backend architecture, API and database design, and operational excellence.
•Ability to lead ambiguous, cross-functional initiatives and align stakeholders around a shared technical vision.
•Nice to have: Understanding of ML research workflows (experiments, training runs, evaluations, checkpoints, configurations, datasets, and iteration cycles).

Experience:ML research

Skills:Cross-functional collaborationStakeholder alignmentOperational excellenceBackend architecture fundamentalsHandling ambiguity

Tech Stack:PythonGoAPIsAPI GatewayDatabasesCLIDashboardsML

Company Brief

Poolside

Builds foundation models, coding agents, and enterprise systems to automate and accelerate software development; offers on-prem/VPC deployments, developer tooling, and forward-deployed engineering for high‑security environments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn

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Poolside

20 hours ago

Member of Engineering (Experiment Platform)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build robust backend services primarily using Python and Go to power the API Gateway and Experiment Platform.
•Partner with researchers, infrastructure teams, and agent platform engineers to translate research workflows into intuitive APIs, data models, and developer experiences.
•Deliver the Experiment CLI to drive adoption of agent-native research workflows.
•Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics.

Pay and Benefits

Perks:Remote WorkHealth InsurancePaid LeaveHome OfficeCompany EquipmentLearning Budget

Key Requirements

•Proven experience building production APIs, distributed systems, or platform infrastructure.
•Strong engineering fundamentals across backend architecture, API and database design, and operational excellence.
•Ability to lead ambiguous, cross-functional initiatives and align stakeholders around a shared technical vision.
•Nice to have: Understanding of ML research workflows (experiments, training runs, evaluations, checkpoints, configurations, datasets, and iteration cycles).

Experience:ML research

Skills:Cross-functional collaborationStakeholder alignmentOperational excellenceBackend architecture fundamentalsHandling ambiguity

Tech Stack:PythonGoAPIsAPI GatewayDatabasesCLIDashboardsML

Company Brief

Poolside

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2023

Website LinkedIn