What You’ll Do

Research & Model Development

Lead design and experimentation onstate-of-the-art models for document understanding, multimodal reasoning, and deep content extraction.
Research, evaluate, and integrate the latestvision-language models (VLMs), retrieval frameworks, RAG systems, and grounding techniques to drive product impact.
Develop new benchmarks, datasets, and evaluation methodologies tailored to real-world document AI tasks.

Applied AI & Product Impact

Build and shipproduction-ready AI components (e.g., table extraction, structure parsing, semantic indexing, multimodal QA, agentic workflows).
Work with engineering and product partners todeploy models at scale — from prototype to integrated platform features.
Collaborate closely with customers and partners to prioritize and validate use cases, includingLLM orchestration, context engineering, and agent integration.

Qualifications

Technical Expertise

5+ years experience in AI/ML research and applied systems; strong record of delivering results.
Deep background indocument understanding, multimodal AI, NLP + computer vision integration.
Hands-on experience withvision-language models, RAG frameworks, context-aware retrieval, agentic AI, and embedding-based systems.

Applied AI & Engineering

Track record of “research → product” delivery: turning prototypes intorobust pipelines, APIs, or services.
Experience optimizing and fine-tuning large models, knowledge of quantization/LoRA/efficient training.
Proficiency with deep learning frameworks (PyTorch preferred), Python, and scalable ML tooling.

Optional (but Highly Valued)

Experience withopen-source frameworks and community contributions
Background inagents, RAG architectures, retrieval systems, and context engineering.
Experience designingbenchmarks, quality metrics, or curated datasets for complex tasks.

What Sets You Apart

You balancedeep technical curiosity with product focus and can speak fluently to both ML research and engineering issues.
You’ve shipped models and systems that are used by developers or customers in real scenarios (not just research demos).
You are comfortable working in afast-moving startup environment where priorities evolve and innovation is part of the culture.

Benefits

- Ability to save in 401(k) plans
- Comprehensive Healthcare and Dental Benefits

Why Tensorlake?

We’re building something foundational for how companies integrateAI into knowledge workflows, RAG pipelines, document agents, and real-world enterprise applications. If you’re excited about shaping AI products that matter, and you enjoy bridging research with engineering execution, this is the role to join.LinkedIn

About Tensorlake Inc

Tensorlake is a serverless platform for agentic applications and Document Ingestion. It provides foundational infrastructure such as serverless compute, code sandboxes, durable execution and unstructured data ingestion APIs to developers in enterprises. We aim to push the frontier ofAI that understands real, complex documents and detailed workflows — not just text extraction, butcontextual reasoning and scalable application systems.

This role is for an experienced scientist who thrives both ininnovating foundational models and building usable, robust AI systems for real users.

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