Invisible Technologies

HQ
San Francisco
Total Offices: 5
370 Total Employees
135 Product + Tech Employees
Year Founded: 2015

Invisible Technologies Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides paid holidays

Career Growth + Development

Job training & conferences

6 Days AgoSaved
Remote or Hybrid
9 Locations
Artificial Intelligence • Information Technology • Machine Learning • Professional Services • Software • Analytics • Consulting
Design scalable human-data solutions for frontier AI clients, translating ambiguous model-training and evaluation needs into executable programs. Lead discovery, methodology, task and workflow design, feasibility estimates, expert profiling, quality strategies, and technical architecture in partnership with engineering and project teams. Advise on fine-tuning, RLHF, benchmarks, red teaming, multimodal data, coding tasks, and agent environments while guiding pilots through early delivery and developing reusable best practices.
7 Days AgoSaved
Remote or Hybrid
8 Locations
Artificial Intelligence • Information Technology • Machine Learning • Professional Services • Software • Analytics • Consulting
Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.
8 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Information Technology • Machine Learning • Professional Services • Software • Analytics • Consulting
Build and deploy AI-powered solutions directly with clients and internal delivery teams. Responsibilities include scoping ambiguous problems, designing LLM and retrieval workflows, developing scalable backend and infrastructure systems, optimizing operational workflows, translating messy data into technical architectures, iterating with stakeholders, and creating reusable deployment tooling. The role also involves client communication, end-to-end project ownership, customer on-call support, travel for client engagements, and hybrid office work.