Pre-screened and vetted.
Staff-level AR/VR and mobile engineer specializing in immersive video platforms
“Game engineer with hands-on experience shipping systems for Horizon Worlds, including a notification platform that unlocked friending, invites, and achievement/prize UX. Also brings applied LLM gameplay experimentation, multiplayer networking/debugging expertise, and cross-platform VR/mobile experience spanning Meta Quest and Android.”
Executive CTO/CPO specializing in AI, cloud, telecom, and enterprise software
“Chief AI Strategy at startup Zenera with 30 years in technology strategy/design, experienced in building business plans across startups and large enterprises (projects, new products, and M&A). Deeply familiar with enterprise AI go-to-market challenges (slow procurement/pilot cycles) and preparing for VC expectations (e.g., targeting a16z) by emphasizing unique tech and paying customers.”
Senior Software Engineer specializing in AR/VR and real-time interactive systems
“Senior engineer (8 years) with experience at Facebook/Meta and Apple, spanning design tooling and XR/enterprise device experiences. Built the Origami component marketplace end-to-end (packaging node logic + metadata, SQL/JSON storage, filtering/search, local caching) with versioning and forward-compatibility decisions, and has a strong track record of UX-focused robustness improvements and safe rollouts via feature flags and telemetry.”
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”
Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms
Senior AI Engineer specializing in LLMs, generative AI, and ML systems
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Executive Technology & IP Attorney specializing in AI, privacy, and complex transactions
Director-level AI/ML Product Leader specializing in computer vision, robotics, and AR/VR
Staff Data Scientist specializing in machine learning, deep learning, and big data
Junior Software Engineer specializing in AI/ML and recommendation systems
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Staff Machine Learning Engineer specializing in search, ranking, and LLM systems
Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms
Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Executive product and business leader specializing in AI, semiconductors, and growth strategy
“Candidate indicated they have a business plan or startup and referenced Gimmelfund.com, a VC fund in Palo Alto. They also stated they are very familiar with the venture capital, studio, and accelerator landscape, but provided limited detail during the screen.”
Principal Product Leader specializing in AI-powered enterprise and marketplace platforms
“Product leader with experience at Zillow, Amazon, and Chewy, focused on high-scale ML and UX-driven product improvements. Has led end-to-end rebuilds and launches that delivered measurable business impact, including a 23% conversion lift in lead routing, 40%+ reduction in delivery-related customer contacts, and 10%+ ecommerce conversion gains.”
Senior Full-Stack Engineer specializing in AI automation and observability
“Full-stack engineer with recent startup experience building AI automation products end to end, from React/Next.js interfaces to Python/FastAPI services and Dockerized deployment. Particularly strong in reliability, observability, and workflow tooling for non-technical business users, with additional experience optimizing database-backed monitoring systems at Meta.”
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”