LLM Researcher

PointFive

. Design and develop SLMs for endpoint devices such as laptops .

Posted 9/17/2026full-timeBoston • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing experimental methodologies and evaluation frameworks for AI systems, with a strong focus on statistical analysis and programming in Python or Go. Proven ability to publish research findings and collaborate with engineering teams to translate research into production-ready systems.

Highest-signal resume keywords

PhD In Computer ScienceExperimental DesignStatistical AnalysisProgramming In PythonAPI-Based Foundation Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisEmpirical EvaluationBenchmark DesignDataset DevelopmentEvaluation FrameworksResearch InfrastructureLarge-Scale Data AnalysisDistributed ExperimentationProgramming In Go

Soft Skills

Independent ResearchCommunication Skills

Tools & Technologies

LLMsRetrieval SystemsAI AgentsDeveloper ToolsCoding Assistants

Industry Keywords

Technical ReportsOpen-Source ProjectsAI Evaluation MethodologiesExperimental CampaignsProduction APIs

Tech Stack

Tools & technologies

PythonGo

About the role

Key responsibilities & impact

Design and develop SLMs for endpoint devices such as laptops
Design and develop a model router using endpoint state
Design rigorous evaluation methodologies for API-based coding agents, with and without access to external tools
Build statistically sound benchmarks measuring cost, latency, accuracy, reliability, and developer productivity
Develop techniques for optimizing agent context, retrieval, memory, and tool interactions while preserving correctness
Design and analyze large-scale experimental campaigns using production APIs across multiple foundation models
Build reusable research infrastructure, datasets, simulators, and evaluation frameworks for agentic systems
Publish technical reports and contribute research findings influencing product direction and the broader AI community
Collaborate with engineering teams to translate research into production-ready optimization systems
Stay current with advances in LLMs, agent architectures, retrieval systems, and AI evaluation methodologies

Requirements

What you’ll need

PhD or equivalent research experience in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field
Strong background in experimental design, statistical analysis, and empirical evaluation
Excellent programming skills in Python and/or Go, with experience building research infrastructure
Demonstrated ability to conduct independent research and communicate findings through publications, technical reports, or open-source projects
Deep understanding of modern LLMs, retrieval systems, or AI agents
Experience working with API-based foundation models such as Claude, GPT, Gemini, or similar systems
Publications in machine learning, systems, information retrieval, software engineering, or AI evaluation
Experience designing benchmarks, datasets, or evaluation frameworks
Familiarity with developer tools, coding assistants, or software engineering workflows
Experience with distributed experimentation and large-scale data analysis

Benefits

Comp & perks

Research with real-world impact on production-scale workloads and shipping products
Opportunity to define a new research field
Backed by top-tier investors
Equal opportunity and inclusive work environment