Top 969 Sail Jobs | SimplyHired

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Applied AI Engineer

David Joseph & Company
San Francisco, CA

Quick Apply

Job Details

Full-time
$180,000 - $250,000 a year

Benefits

Visa sponsorship

Qualifications

AI models
PyTorch
AI platforms (beyond public GPTs)
Computational framework
Machine learning libraries
Machine learning frameworks

Full Job Description

San Francisco, CA · On-site (5 days/week) · Full-time
Compensation: $180,000–$250,000 + competitive equity

About the Company

An early-stage, venture-backed AI startup building systems that operate computers the way humans do — navigating browsers, processing documents, and working through legacy systems — to automate the messiest enterprise finance operations. The company is going after the $300B+ BPO industry that software historically couldn't touch, and is already live with enterprise customers ranging from $500M to $5B in revenue.

Founded 2025 · ~6 people · Industry: Applied AI / enterprise automation

The Role

Own the intelligence that powers the automation. You'll turn research into production across browser agent reliability, document understanding, and inference optimization — making the system more accurate and faster every week.

What you'll be doing

Push core automation capabilities to state-of-the-art: UI interaction, unstructured-data parsing, and tool use.
Build adaptive systems that self-heal when environments change.
Design fine-tuning pipelines that learn from customer-specific workflows.
Optimize latency across the stack via model selection, quantization, caching, and routing strategies.
Improve browser agent reliability and document-understanding accuracy on real enterprise data.

Tech stack: Python, PyTorch, and modern ML frameworks; LLMs, agents, RAG, and fine-tuning; inference optimization (quantization, caching, routing).

Requirements

Strong Python and ML frameworks, particularly PyTorch.
Applied ML/AI engineering experience at a strong company.
Eval-and-metric mindset — thinks in terms of metrics that matter in production, not just benchmarks.
Comfort with messy data and figuring out how to make it useful.
Track record of shipping — can describe specific systems built end-to-end, not just research.
Crisp communication about own work — can describe what they built in a few clear sentences without buzzwords.
Based in San Francisco or willing to relocate; in-person 5 days a week.

Green Flags

Real applied ML or AI engineering work at a respected Series A–D startup or selective technical org (calibration anchors: Ramp, Databricks, Scale, Stripe).
Lab or research exposure (SAIL, BAIR, MIT CSAIL, or similar) paired with evidence of shipping, not just publishing — the combination is the highest-signal background.
Recent momentum toward LLMs, agents, RAG, fine-tuning, or production ML systems; direct adjacency to the roadmap (browser agent reliability, document understanding, inference optimization).
Experience with RL, retrieval systems, or agent-based systems.
Cross-stack range: inference optimization, data pipelines, fine-tuning, and model monitoring.
Published ML papers or significant OSS contributions.

Red Flags

Resumes or LinkedIn profiles stuffed with 300–400 word descriptions full of buzzwords and keywords.
Inability to clearly articulate what they actually built and how they thought through problems.
Communication style that sounds like reading off a script or cue card.

Why Join

Category-defining problem: AI that actually operates software end-to-end against a $300B+ market.
Frontier research-to-production work on browser agents, document understanding, and inference optimization.
Ground-floor ownership on a small SF team, owning the intelligence layer of the product.
Live enterprise customers and strong early traction.

Details

Location: San Francisco, CA
Work policy: In-person, 5 days a week (relocation supported)
Compensation: $180,000–$250,000 + equity
Visa sponsorship: H-1B, O-1
Employment type: Full-time

Quick Apply

Refine Your Search

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Applied AI Engineer

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Graphic Designer

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Adjunct Faculty - Audio Production (REMOTE)

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Broadcast Technician

Adjunct Faculty - Visual Design

Sailpoint Developer

Lead Project Technician (Remote)

U.S. Navy Firefighter

Relief Mate

U.S. Navy Information Technician/IT Specialist

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