Jobs at AI Fund

Freelance writers summarize recent machine learning research papers for The Batch, an AI newsletter reaching over two million professionals and students. Writers must understand machine learning technology, explain complex research clearly in an established format, and communicate effectively in English. The role is intended for graduate students and postdocs in machine learning, with negotiable freelance compensation.

Support Andrew Ng and his ecosystem by managing complex calendars, travel, events, communications, and board logistics. Prepare briefings and materials, track action items and recommendations, manage expense reports and letters of recommendation, and assist with presentations and miscellaneous operations. Coordinate across AI Fund, portfolio companies, and public boards while maintaining confidentiality, anticipating needs, and using productivity and AI tools to increase efficiency.

Own the architecture, governance, integrations, tracking, attribution, experimentation infrastructure, and automation of the marketing technology stack. Build agentic workflows, monitoring, validation, reporting, and self-service tools across HubSpot, Customer.io, data systems, and analytics platforms. Define marketing data standards, deliverability infrastructure, and measurement conventions while directing contractors and partnering with engineering. The role is onsite in Mountain View and requires strong programming, API, SQL, CRM administration, and AI automation experience.

Design and build production-quality front-end experiences for an AI learning product. Own the product design language, component system, motion, accessibility, performance, responsiveness, and interaction details. Work directly with learners and the founding team to iterate rapidly based on observed usage. The role combines product design and front-end engineering, requiring end-to-end ownership from interface design through implementation and refinement.

Own the strategy, roadmap, and feature delivery for DeepLearning.AI’s B2B corporate training product. Partner with sales, engineering, design, customer success, and curriculum teams to understand enterprise needs, define product specifications, prototype solutions, and deliver features such as analytics, reporting, custom learning paths, LMS integrations, and privacy controls. Support enterprise sales cycles and represent the product roadmap to business customers.

The Forward Deployed Engineer is customer-facing, responsible for deployments, debugging, configuring systems, and translating customer needs into product feedback. Requires hands-on coding in Python and SQL.

The Founding Product Director will define the product vision and strategy for IrisGo, lead app development, and act as a partner to OEMs, while fostering an open-source ecosystem for AI PCs.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

As the first engineering hire, you'll own product engineering, build AI-powered workflows, make architectural decisions, and ensure code quality.

Responsible for owning the full sales cycle, sourcing and managing pipeline, and closing deals in mid-market SaaS companies. Collaborate with the CEO and marketing to establish a presence in new markets, focusing on building trust through compliance and privacy solutions.

The Forward Deployed Engineer role involves collaborating with enterprise clients to identify AI opportunities, redesign workflows, and implement impactful AI solutions while also contributing to internal tools and platform development.

As an AI Engineer, you will develop new AI products, iterate with a small team, and apply various GenAI techniques to enhance educational experiences.

Design and build AI-powered learning experiences grounded in instructional design and learning science. Translate pedagogy into executable specifications, quality standards, assessments, feedback systems, and automated checks. Prototype with AI tools and light engineering, work directly with learners through pilots, and iterate based on observed outcomes. The role also involves authoring high-quality educational content and collaborating closely with the founding team to scale effective teaching.

Design and prototype AI-native teaching methods, build learning-outcome measurement systems, and run rigorous studies with real learners. Develop valid and reliable assessments, measure skill gain, retention, and transfer, and use evidence to guide product decisions. Collaborate with engineers and the founding team to instrument learning experiences, launch novel instructional methods, and evaluate their effectiveness in a fast-moving product environment.

Build and own LearnVector’s full-stack AI learning product, including frontend experiences, backend services, data layers, deployment infrastructure, streaming AI interactions, session memory, content pipelines, observability, testing, and CI. The role requires making foundational architecture decisions, integrating LLM APIs, operating production systems, and shipping frequent product improvements in an on-site, early-stage startup environment.

Build and operate agentic AI tutoring systems, including multi-step tutoring loops, tool use, learner memory, planning, verification, guardrails, and evaluation harnesses. Develop evidence-backed learner models and measure conversational and teaching quality using real learner data. Partner with the founding team to define product behavior, translate ambiguous questions into measurable systems, and deliver end-to-end improvements. The role requires production LLM experience, strong Python or TypeScript/Node.js skills, and independent software engineering ownership.

Build a gesture-controlled mobile game using real-time hand movement through the phone camera. Own the game loop, computer vision and recognition pipeline, UX feedback, calibration, fail-state handling, and on-device performance. Rapidly prototype and test with players while balancing model quality, latency, battery usage, and game feel. Collaborate with the AI Fund build team on feasibility, scope, and potential gesture-recognition platform expansion.

Lead Strata from inception as co-founder, defining the vision for regulatory intelligence software, engaging enterprise customers, shaping the product roadmap, providing technical leadership for trusted AI agents, and recruiting teams across go-to-market, product, engineering, and customer success. The role requires early-stage B2B SaaS experience, hands-on LLM and agentic architecture expertise, and the ability to build products emphasizing accuracy, citations, auditability, and expert review.

Contract technical recruiter using GenAI tools to source, screen, coordinate interviews, manage pipelines, support offers, maintain ATS, track metrics, host events, and partner closely with engineering. Requires hands-on technical recruiting experience and in-office presence in Taipei.

The role involves selling privacy evaluation services, managing full-cycle sales from prospecting to closing deals, primarily targeting the education technology market and expanding into adjacent verticals.