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Build and improve multimodal AI models that understand and generate text, images, and video for real-time user experiences.
Build post-training strategies (RL-based) to train coding and agentic AI models, including reward modeling, simulation environments, and evaluation frameworks.
Research and develop large-scale multimodal AI pretraining systems, optimizing data pipelines and training infrastructure to advance foundation models for real-time, intuitive intelligence.
Build Hark’s native Android app in Kotlin/Compose that streams real-time, multimodal AI responses (voice, text, vision) to users.
Build Hark’s native iOS app that delivers a real-time, multimodal AI agent with voice, text, and vision in a polished, high-performance experience.
Designs and leads the embedded OS architecture for AI-first consumer electronics, shaping kernel, middleware, and platform strategy across product lines from prototype to mass production.
Builds the core runtime and infrastructure for Hark’s AI agent platform, focusing on low-latency streaming, tool execution, memory, and orchestration to power production-grade agentic systems.
Designs enclosures and mechanisms for AI-powered hardware, guiding products from concept to mass production while balancing mechanical, electrical, and industrial design constraints.
Designs thermal systems for AI-powered consumer devices, balancing performance, battery life, and user comfort while collaborating with hardware and software teams.
Build and operate security for an AI company: threat-model systems, harden cloud infrastructure, and lead incident response for LLM/agent products.
Lead the design, training, and on-device deployment of audio ML models for wake-word detection, voice enhancement, and speech processing in Hark’s AI-powered hardware products.
Designs and validates hardware durability using FEA and coupled simulations to ensure AI devices withstand real-world stresses, collaborating with engineers to refine enclosures and assemblies.
RF Hardware Engineer responsible for designing, validating, and certifying wireless subsystems (cellular, Wi-Fi, Bluetooth, GNSS, NFC/UWB) in consumer AI hardware products from architecture through mass production.
Design and build RL environments, reward functions, and task curricula to train and evaluate proactive personal AI agents, scaling infrastructure for large-scale training runs at an AI/hardware company.
A Principal Security Consultant in Mandiant’s Advanced Intelligence Access program delivers actionable threat intelligence to clients, focusing on AI/ML security risks and vulnerabilities. The role involves client-facing analysis, report generation, and collaboration with internal/external teams to enhance cybersecurity defenses and decision-making.
Lead the backend architecture and data layer for a platform that contextualizes and supervises intelligent agents, transforming a prototype into a production-ready system for pilot clients.
Build and maintain Jenkins CI/CD pipelines in Groovy to automate and industrialize software delivery for client projects.
Build and own AI-powered workflows and features for an established product with real customers, working across the full stack.
Design, build, and deploy ML models for forecasting, supply-chain optimization, and anomaly detection using Python and SQL, then communicate insights via dashboards.
Builds and maintains Power BI dashboards, data pipelines, and AI-driven analytics for an AI startup’s enterprise platform, integrating heterogeneous data sources and collaborating on ML-ready datasets.
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