Squint · 1 month ago
Applied AI Engineer (Mid-Level to Staff+)
San Francisco
Full-time
Onsite
Mid, Senior Level, Lead/Staff
$200K/yr - $270K/yr
4+ years expSquint.ai is focused on empowering frontline manufacturing operators through innovative AI and AR technology. The Applied AI Engineer will be responsible for transforming unstructured manufacturing inputs into structured knowledge and developing AI-powered features that enhance decision-making capabilities on the shop floor.
Artificial Intelligence (AI)Augmented RealityEnterprise SoftwareManufacturingSoftware
Responsibilities
Ship AI-powered features rapidly—from prototype to production to customer reality
Transform unstructured manufacturing inputs into structured knowledge
Build and iterate on systems capable of semantically understanding a wide variety of manufacturing material (documents, media, and more) and representing them with high fidelity on the Squint platform
Develop best-in-class reasoning experiences
Build systems that leverage this structured knowledge serve fast, accurate answers directly to the shop floor–where there is no margin for error
Leverage differentiated data to produce novel, domain-specific insights for manufacturers
Create methods that synthesize information and surface meaningful signals for customers
Build advanced photo- and video-based visual understanding
Iterate on AI systems that interpret manufacturing environments and actions, improving accuracy, speed, and robustness across varied conditions
Build generic, reusable tooling for evaluating AI systems over time
Instrument product flows to gather automatic feedback and continually improve correctness, prevent regressions, and accelerate iteration
Qualification
Required
Mid-Level (4+ years): You are expected to own and execute specific AI features end-to-end, from prototyping and fine-tuning models to productionizing code, while maintaining high reliability and performance in manufacturing environments
Staff-Level (8+ years): You are expected to architect the broader AI systems and evaluation frameworks that scale across our platform, mentoring others and making high-stakes technical trade-offs between RAG, fine-tuning, and novel model architectures
Deep understanding of the transformer architecture and modern LLM techniques. You can explain how attention mechanisms work and stay current with the latest research and techniques
Production experience with ML frameworks (PyTorch preferred). You're comfortable with loss functions, training loops, optimization, and the practical details of getting models into production
Experience fine-tuning and deploying LLMs in production environments. You've shipped LLM-powered features and understand the tradeoffs between prompt engineering, fine-tuning, and RAG approaches
A builder's mindset. You move fast, pick up new skills, and take ownership from 'why' to 'shipped'
Strong product intuition and customer empathy. You care about trust, failure modes, and real-world workflows
Comfort with ambiguity and a bias toward action, iteration, and measurable results
Benefits
Competitive Salary and Equity
Comprehensive Medical, Vision, and Dental care
Flexible PTO Policy
Lunch and Dinner Service
Wellness Benefit
Maven Family Planning Benefits
Partnership with Care.com
Mental Health Services
401(k) Retirement Plan
Pre-Tax Commuter Benefit for Parking & Public Transit
Company-wide Retreats
Company
Squint
Squint is a manufacturing intelligence platform that helps streamline factory procedures and enhance team execution.
51-200 employees
H1B Sponsorship
Squint has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
$59MKey Investors
Sequoia CapitalMenlo Ventures
2025-08-12Series B· $40M
2023-11-29Series A· $13M
2023-04-01Seed· $3.5M
Leadership Team
Devin Bhushan
Founder & CEO
Dylan Conway
Head of Customer Success
Recent News
2025-08-19
alleywatch.com
2025-08-18
Crunchbase News
2025-08-15
Company data provided by crunchbase