Applied AI Engineer

Squint IncSan Francisco, CA
6dOnsite

About The Position

Squint is looking for AI Engineers to turn the messy, fractured world of manufacturing knowledge into real intelligence that changes the industry. You’ll build the capabilities that transform real-world inputs—tribal knowledge, video, images, documents, and more—into differentiated insights and structured workflows for frontline manufacturing teams. If you love shipping fast, owning problems end-to-end, and iterating with real users, you’ll fit right in.

Requirements

  • 8+ years shipping production software, with significant experience deploying AI/ML systems. Staff-level capability in applied AI/ML is expected.
  • 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.

Responsibilities

  • Ship AI-powered features rapidly—from prototype to production to customer reality. This includes work such as:
  • 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.
  • Creating evaluation and feedback loops.
  • 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.

Benefits

  • Based out of our office in San Francisco, we love the energy of in-person collaboration.
  • 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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service