EngineeringRemote

Member of Engineering (Evaluations / Engineering)

Poolside · Remote

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Last seen by MeritLog September 10, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Poolside's Ashby job board and last checked it on September 10, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Remote
Salary: Not listed by source
Location: Remote (EMEA/East Coast)
Company website: arxiv.org

Hiring context

How this role compares at Poolside

Poolside has 15 live roles in MeritLog’s catalog across 2 job families, and 10 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Poolside concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

Design a Python framework that makes it easy for poolsiders to implement both internal and public benchmarks in a centralized way
Build and maintain the pipeline that runs distributed evaluations at scale
Collaborate with modeling and product teams to identify opportunities to improve our experimentation and evaluation tooling

What they're asking for

Strong engineering backgroundSkill
Experience leading software projects cross functionallySkill
Experience building highly reliable and well tested servicesSkill
Experience with distributed systemsSkill
Data pipelines, distributed processingSkill
Message queues, event-driven architectures, e.g. Kafka, Google pub/sub.Skill
Clouds: managed services, storage. GCP, AWS, Azure.Skill
Monitoring and alerting: Grafana, Prometheus, DatadogSkill
Plus: Experience designing frameworks or tooling for developersSkill
A product mindset towards building developer facing softwareSkill
A knack for collaborating with researchers and ML engineers to identify opportunitiesSkill
Plus: Experience with ML ops and data visualization platformsSkill
Intro call with one of our Founding EngineersSkill
Technical Interview(s) with one of our Founding EngineersSkill
Team fit call with the People teamSkill
Final interview with one of our Founding EngineersSkill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy https://poolside.ai/gdpr ABOUT OUR TEAM We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year. Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts. ABOUT THE ROLE Evaluation is one of the most important pillars of building a frontier model and product - it informs the direction of research and development, powers our experimentation and ensures quality and alignment with our users. To support this, we need a powerful pipeline and self-serve evaluation framework that helps poolsiders build, run and extract insight from evals easily. In this role, you will design and implement this platform to build and run evaluations at scale. YOUR MISSION Build a scalable self-serve evaluation platform to power our research and development RESPONSIBILITIES - Design a Python framework that makes it easy for poolsiders to implement both internal and public benchmarks in a centralized way - Build and maintain the pipeline that runs distributed evaluations at scale - Collaborate with modeling and product teams to identify opportunities to improve our experimentation and evaluation tooling SKILLS & EXPERIENCE - Strong engineering background - Experience leading software projects cross functionally - Experience building highly reliable and well tested services - Experience with distributed systems - Data pipelines, distributed processing - Message queues, event-driven architectures, e.g. Kafka, Google pub/sub. - Clouds: managed services, storage. GCP, AWS, Azure. - Monitoring and alerting: Grafana, Prometheus, Datadog - Plus: Experience designing frameworks or tooling for developers - A product mindset towards building developer facing software - A knack for collaborating with researchers and ML engineers to identify opportunities - Plus: Experience with ML ops and data visualization platforms PROCESS - Intro call with one of our Founding Engineers - Technical Interview(s) with one of our Founding Engineers - Team fit call with the People team - Final interview with one of our Founding Engineers BENEFITS - Fully remote work & flexible hours - 37 days/year of vacation & holidays - Health insurance allowance for you and dependents - Company-provided equipment - Wellbeing, always-be-learning and home office allowances - Frequent team get togethers - Great diverse & inclusive people-first culture

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