- Company Name
- Goodnotes
- Job Title
- AI Research Manager
- Job Description
-
**Job Title**
AI Research Manager
**Role Summary**
Lead a technical research team developing large‑language models (LLMs) and multimodal systems for an AI‑powered note‑taking platform. Drive research from concept through production, align work with product strategy, and mentor researchers to deliver high‑impact features.
**Expectations**
- 8+ years industry experience with 2+ years leading LLM/vision‑language research teams.
- Proven record of end‑to‑end research delivery (SFT, RLHF, preference modeling) from ideation to deployment.
- Strong theoretical and practical expertise in modern ML, multimodal representation, and post‑training methods.
**Key Responsibilities**
- Define and execute research strategy for agentic & spatial multimodal LLMs.
- Design, scale, and operationalize Retrieval‑Augmented Generation (RAG) pipelines across handwritten notes, whiteboards, typed text, and PDFs.
- Build and maintain evaluation pipelines (custom datasets, metrics, human studies).
- Mentor researchers: set goals, enforce experimental rigor, oversee career development.
- Partner with engineering to productionize models: ensure reproducibility, experiment tracking, versioning, and seamless handoff.
- Communicate research trade‑offs to product stakeholders and translate findings into actionable product features.
**Required Skills**
- Leadership of cross‑functional research teams.
- Deep knowledge of LLM/VLM architecture, representation learning, optimization, regularization, and curriculum strategies.
- Hands‑on Python and deep‑learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with non‑text modalities (handwriting/ink, sketches, diagrams, layouts, whiteboards).
- Expertise in multimodal architectures (vision encoders, layout‑aware models, graph representations, hybrid tokenization).
- Proficiency in experimental design, debugging, and systematic iteration.
- Proficiency with experiment tracking (MLflow or equivalent), version control, documentation, and model deployment hygiene.
- Excellent verbal and written communication; ability to translate technical concepts to non‑technical stakeholders.
**Required Education & Certifications**
- PhD or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field.
- Professional certifications (e.g., AWS AI/ML, Google Cloud AI) are a plus but not mandatory.