Senior Research Manager
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Job Description
Senior Research Manager guiding a research team at FirstPrinciples for AI-driven scientific discovery. Defining research agendas and mentoring researchers to drive impactful outcomes.
Responsibilities:
- 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:
- 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:
- Health insurance
- Professional development opportunities
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