San Francisco, California, United States · Hybrid
$180k–$250k/yr
Join us and help shape the future of AI by defining the narrative around document understanding. About the Role We are looking for an AI Research Engineer to join our document understanding team. This role is ideal for s…
Skills: Machine Learning Engineering, Python, PyTorch, Computer Vision, Vision-Language Models
LegoraSan Francisco, California, United States · On-site
$260k–$307k/yr
About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the sa…
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San Francisco, California, United States · Hybrid
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Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified…
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Job Seekers can review the Job Applicant Privacy Policy by clicking here. Job Description: ResponsibilitiesDesign and maintain a robust data streaming and messaging architecture.Ownership of our near real-time data strea…
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San Francisco, California, United States · Remote OK
$150k–$350k/yr
Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, env…
Skills: Reinforcement Learning, Distributed Inference, Synthetic Data Generation, MLOps, AI Inference Optimization
San Francisco, California, United States · Remote OK
$150k–$350k/yr
Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, env…
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San Francisco, California, United States · Remote OK
$146k–$190k/yr
Career-defining. Life-changing. At iRhythm, you’ll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can…
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San Francisco, California, United States · Hybrid
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About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across v…
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Forward Deployed AI Strategy Lead Be Your Own Lab Prime Intellect is building the infrastructure that frontier AI labs build internally, and making it available to everyone. Our platform, Lab, brings together environment…
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Applied AI Product Strategy & Revenue Lead Be Your Own Lab Prime Intellect is building the infrastructure that frontier AI labs build internally, and making it available to everyone. Our platform, Lab, unifies environmen…
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San Francisco, California, United States · On-site
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Cardless is looking for an experienced backend engineer to join our exceptional team! You’ll play a key role in designing, building, and scaling the systems that power our co-branded credit card platform spanning domains…
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San Francisco, California, United States · Hybrid
$117k–$246k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
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San Francisco, California, United States · Hybrid
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To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Voice Infrastructure, SIP, VoIP, PSTN, SBC Configuration
San Francisco, California, United States · Hybrid
$75k–$124k/yr
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Skills: Technical Writing, AI Tooling, API Documentation, Markdown, XML
San Francisco, California, United States · Hybrid
$120k–$160k/yr
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare …
Skills: Data Modeling, Relational Database Design, Python, PySpark, ETL/ELT
Menlo Park, California, United States · On-site
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We are seeking a Senior Program Manager to join Meta's Global Product Quality (GPQ) team and drive localization testing programs. This role is responsible for helping Meta's product teams validate how well their products…
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San Francisco, California, United States · On-site
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Perplexity is seeking a highly experienced Governance, Risk & Compliance Analyst to join our world-class team. You will help shape our compliance and risk management program. If you are a self-motivated, organized profes…
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San Francisco, California, United States · On-site
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Us: Twitch is the world’s biggest live streaming service, with global communities built around gaming, ent…
Skills: React, Golang, Typescript, Kotlin, Swift
San Francisco, California, United States · Remote OK
$150k–$300k/yr
Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, env…
Skills: Machine Learning Engineering, Reinforcement Learning, Post-training, Model Alignment, Distributed Training
San Francisco, California, United States · Hybrid
$135k–$200k/yr
Who We Are Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, an…
Skills: Partnerships, Business Development, Ecosystem Growth, Relationship Building, Strategic Planning
San Francisco, California, United States • Hybrid
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Develop and train vision-language models to improve document understanding, accuracy, and cost-effectiveness in production. Build data pipelines for curation and synthetic data generation while designing benchmarks to measure system reliability.
Requires 3-7 years of experience in ML engineering or applied research with strong proficiency in Python and PyTorch. Candidates must have experience with computer vision or NLP and the ability to write production-quality code in a fast-paced startup environment.
We are looking for an AI Research Engineer to join our document understanding team.
This role is ideal for someone who sits between applied research and strong engineering. You will work on vision-language models, document processing, data curation, synthetic data generation, benchmarking, training, fine-tuning, and post-training. The goal is simple: make our document AI systems more accurate, faster, and more cost-effective in production.
You should be excited by frontier AI work, but equally motivated by practical product impact. This is not a pure research role where ideas stay in papers. You will be expected to prototype quickly, evaluate rigorously, and help turn promising approaches into production systems used by customers.
Develop and train vision-language models for document processing and document understanding.
Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation.
Evaluate base models and perform post-training or fine-tuning to hit specific performance targets.
Improve model accuracy, latency, and cost-effectiveness across real-world document workflows.
Design and maintain benchmarks to measure extraction quality, layout understanding, OCR performance, reasoning accuracy, and end-to-end system reliability.
Work with messy real-world documents, including PDFs, scanned documents, tables, charts, forms, and multi-page enterprise documents.
Collaborate with engineering to move successful research prototypes into production.
Work directly with customers when needed to translate product requirements into benchmarks, experiments, and model improvements.
Stay close to the latest research in vision-language models, document AI, post-training, synthetic data, and agentic systems.
Use modern AI coding workflows and tools to move quickly.
3–7 years of experience in machine learning engineering, applied research, or research engineering.
Strong ML foundation, including hands-on experience benchmarking and training models.
Strong Python skills and comfort with modern ML tooling, especially PyTorch.
Experience with computer vision, vision-language models, NLP, document AI, OCR, extraction, or agentic AI systems.
Ability to build experiments, evaluate results, and iterate quickly toward measurable performance improvements.
Strong engineering judgment and ability to write clean, production-quality code.
Comfort working in a fast-paced startup environment with high ownership and limited structure.
Adaptable, scrappy, and self-directed — someone who can figure things out without waiting to be told.
Strong technical writing and communication skills.
Prior startup experience, especially at an early-stage or high-growth AI company.
Experience as a founder or early startup engineer.
Experience building or improving document processing systems.
Experience with synthetic data generation, post-training, fine-tuning, or benchmark design.
Familiarity with tools such as vLLM, Pydantic, uv, ruff, mypy, Claude Code, Cursor, or similar modern AI engineering workflows.
Experience with open-source AI infrastructure or developer tools.
You will work closely with the CTO and the document understanding team, partnering across research, engineering, product, and customer-facing teams.
Work on a core AI infrastructure problem: making complex documents understandable and actionable for AI systems.
Build production systems at the frontier of vision-language models and document AI.
Join a fast-growing startup with strong open-source adoption and commercial traction.
Work directly with technical founders and a highly ambitious engineering team.
Have real ownership over model quality, product capability, and technical direction.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
AI agents for document OCR + workflows
LlamaIndex delivers the world's most accurate agentic document processing platform. We bring together industry-leading agentic OCR with a natural language workflow builder to power intelligent agents that read and extract over complex documents, adapt to business logic, and scale reliably to production. Our SDK is downloaded more than 25M+ every month and used by the fastest growing AI companies and the Fortune 50.
Offices: San Francisco, California, US · 447 Sutter St, San Francisco, California 94108, US
Based on 3487 listings with disclosed salaries, most software jobs in San Francisco, CA pay between $140k–$290k per year. Individual offers vary with seniority, company size, and specialization.
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