About the role
What You’ll Do
Research & Model Development
Lead design and experimentation on
state-of-the-art models
for document understanding, multimodal reasoning, and deep content extraction.
Research, evaluate, and integrate the latest
vision-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 ship
production-ready AI components
(e.g., table extraction, structure parsing, semantic indexing, multimodal QA, agentic workflows).
Work with engineering and product partners to
deploy models at scale
— from prototype to integrated platform features.
Collaborate closely with customers and partners to prioritize and validate use cases, including
LLM 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 in
document understanding, multimodal AI, NLP + computer vision
integration.
Hands-on experience with
vision-language models
, RAG frameworks, context-aware retrieval, agentic AI, and embedding-based systems.
Applied AI & Engineering
Track record of “research → product” delivery: turning prototypes into
robust 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 with
open-source frameworks and community contributions
Background in
agents, RAG architectures, retrieval systems, and context engineering
.
Experience designing
benchmarks, quality metrics, or curated datasets
for complex tasks.
What Sets You Apart
You balance
deep 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 a
fast-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 integrate
AI 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 of
AI that understands real, complex documents and detailed workflows
— not just text extraction, but
contextual reasoning and scalable application systems
.
This role is for an experienced scientist who thrives both in
innovating foundational models and building usable, robust AI systems for real users
.