Senior Research Manager

FirstPrinciples

Senior Research Manager guiding a research team at FirstPrinciples for AI-driven scientific discovery. Defining research agendas and mentoring researchers to drive impactful outcomes.

Posted 7/28/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in machine learning and scientific computing, with a strong ability to manage and mentor researchers while driving impactful research agendas. Capable of translating research into validated, reusable capabilities and fostering collaboration across disciplines.

Highest-signal resume keywords

PhD In Machine LearningResearch ManagementProgramming SkillsExperimental DesignTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningScientific ComputingData StrategyModel DevelopmentEvaluation TechniquesResearch InfrastructureExperimental SkillsReproducible SystemsFailure AnalysisBenchmarking

Soft Skills

JudgementTrust BuildingCuriosityIntellectual HonestyHigh-Agency Leadership

Industry Keywords

Research AgendaOpen-Source SystemsTechnical StandardsResource AllocationIntegrated Squads

About the role

Key responsibilities & impact

Define a research agenda spanning near-term capabilities, reusable platforms, and field-shaping bets.
Manage, mentor, and grow researchers with strong scientific taste, technical depth, and ownership.
Fully own the business impact of research by connecting it to product, market, and user needs, setting clear milestones and maximizing the potential for projects to turn into capabilities.
Frame bold research theses and design decisive experiments, baselines, evaluations, and failure analyses.
Remain technically engaged in model development, post-training, data strategy, evaluation, and critical implementations.
Form integrated squads with engineering and domain experts from the outset of a program.
Help prototypes become reliable, reproducible, and reusable systems without losing their scientific insight.
Build compounding assets such as models, datasets, verifiers, benchmarks, simulations, agent runtimes, and research infrastructure.
Use evidence to decide when to deepen, redirect, scale, publish, protect, open-source, deploy, or conclude a line of work.
Influence broader research strategy, hiring, technical standards, infrastructure, and resource allocation.

Requirements

What you’ll need

A strong record of original research through publications, open-source systems, deployed methods, or comparable contributions.
Experience managing researchers or providing sustained technical leadership across ambitious programs.
A PhD or equivalent research experience in machine learning, computer science, physics, mathematics, scientific computing, or a related field.
Deep expertise in at least one relevant area, with the breadth to connect it to adjacent disciplines.
Strong programming and experimental skills, including the ability to engage deeply in implementation.
A record of moving research beyond demonstrations into validated, dependable, and reusable capabilities.
Excellent judgement about novelty, evidence, technical risk, and where to place long-term bets.
The ability to build trust and alignment across research, engineering, and scientific disciplines.
A low-ego, high-agency leadership style grounded in curiosity, precision, and intellectual honesty.

Benefits

Comp & perks

Health insurance
Professional development opportunities