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Builds full-stack features and scalable systems to drive user growth, acquisition, retention, and revenue. Partners with product, data, design, and marketing teams; runs A/B experiments and applies AI tools. Requires 5+ years experience and CS bachelor's.
Develop and optimize low-level software kernels and systems for new AI accelerator platforms to enable efficient large-scale training and inference of models like LLMs. Requires 3+ years in AI infrastructure, experience with data center-scale accelerators like TPUs, and strong systems skills.
As a Solution Engineer, you will act as the technical bridge between automotive customers and Applied Intuition engineering teams, supporting Vehicle OS engagements and leading technical discussions to ensure maximum impact of Applied's platform solutions.
ML Research Engineer trains foundational embedding models for web search, designs novel transformer architectures, creates datasets and evals, and beats state-of-the-art performance. Requires graduate-level ML expertise and ability to implement transformers in PyTorch.
Builds and optimizes backend systems for massive-scale web crawling, data processing pipelines handling millions of documents daily, and high-performance vector databases in Rust for AI search applications. Requires expertise in high throughput, low latency systems.
Forward Deployed Engineer collaborates with customers and engineering to close deals, build demos, take sales calls, analyze pipelines, and fix bugs across frontend/backend. Requires programming skills (e.g., Node.js servers) and customer-facing experience.
Provides frontline IT support, troubleshoots hardware/software/network issues, manages vendors and equipment, and improves IT processes in a collaborative environment. Requires strong macOS expertise, device management tools, and enterprise collaboration software proficiency.
Develops full-stack web product for government contracting, including fund tracking, project execution, and stakeholder reporting. Partners with founding team on coding, architecture, and customer-driven improvements; requires relocation to Boston or NYC.
Builds and improves large-scale pretraining data pipelines, mixtures, and curation methods for Cohere’s language models. The role combines software engineering and research, requiring Python, data-pipeline development, and experience with large datasets and processing frameworks.
Leads a product engineering organization spanning frontend, mobile, and backend development, combining hands-on technical leadership with hiring, coaching, architecture, and roadmap execution. Requires at least four years of engineering management experience and a bachelor's degree in a technical field.
Staff AI Software Engineer builds and scales AI systems including PromptQL AI assistant, data engine, and runtime infrastructure for enterprise reliability. Requires 6+ years experience with AI/ML, distributed systems, LLMs, Python fluency, and technical leadership.
Leads development and analysis of aerodynamic and structural loads for next-gen air vehicles, including maneuver, gust, and ground loads. Collaborates with aero, GNC, and structural teams; requires 8+ years experience and proficiency in NASTRAN, FEMAP, MATLAB.
Creates and distributes technical content like videos, cookbooks, and demos to teach developers about Modal Sandboxes for AI code execution and agentic systems. Requires 3+ years software engineering with ML/LLM experience and strong community engagement skills.
Develops embedding models and retrieval systems to enable frontier AI models to access relevant information dynamically. Requires deep expertise in representation learning, vector retrieval, and transformer LLMs, with experience scaling ML systems.
Builds and leads development of a standalone iOS companion app for voice agents, focusing on design-forward, low-latency UI and complex features. Ships production apps with expertise in modern iOS patterns, real-time comms, and performance optimization.
Supports recruiters by sourcing and screening candidates, maintaining talent pipelines, and engaging passive talent. The role is designed for a proactive student fluent in Hungarian and English who is eager to learn recruitment tools and practices.
Versatile engineer blending customer engineering and technical development to onboard customers and optimize HappyRobot's AI platform. Requires full-stack skills in React, TypeScript, Node.js, Python, and AI/ML experience with strong communication.
Conducts research in mechanistic interpretability to understand deep network representations and enhance AI safety. Requires PhD or equivalent in ML/CS, 2+ years research engineering with Python, and passion for safe AGI.
Owns full mid-market sales cycle for AI-powered front-office operations platform targeting home service businesses, handling high-volume inbound leads, strategic outbound prospecting, fast demos, and closing $20K-$40K ACV deals. Requires 2-5+ years high-velocity B2B SaaS sales experience with proven quota success.
Owns end-to-end design of developer-facing products, reimagining playgrounds, API navigation, and scalable systems. Requires shipped dev tools experience, strong visual craft, systems thinking, and frontend comfort to collaborate with engineering.
Build and post-train frontier AI models at scale, bridging research and production through scalable training software, distributed infrastructure, and performance optimization. The role requires strong software engineering skills and experience with large-model training and post-training.
Leads Data Operations team to build and scale audio data pipelines from experiments to production for AI models. Partners with researchers and executives, drives metrics-based decisions, and ensures high-quality data delivery at scale. Requires 5-10 years high-ownership experience and SQL proficiency.
Works with automotive OEM customers to deliver Vehicle OS solutions, coordinate technical requirements and milestones, and resolve complex customer problems. The role requires automotive or supplier experience, strong communication, project management skills, and ideally expertise in vehicle development, functional safety, and embedded software.
Designs and evolves AI sales coaching products for desktop/mobile, leading projects from discovery to implementation without PMs. Works directly with non-tech customers, ships rapidly, and shapes design culture in fast-paced startup.
Leads engineering team as Chief Engineer to develop and deploy Hivemind autonomy solutions on unmanned aircraft systems for DoD contracts. Requires 10+ years in autonomy/UAS, expertise in robotics stack, GNC, and leadership of technical teams.
Builds and scales backend features for AI/LLM-native applications using Python, Node.js, Kubernetes, and related tools. Requires 4+ years experience shipping products from prototype to production at scale, with customer iteration.
Founding Account Executive owns the full sales cycle for AI-powered SaaS platform, from inbound/outbound pipeline generation and demos to closing complex enterprise deals. Requires 5+ years B2B SaaS sales experience thriving in early-stage startups.
Builds and scales infrastructure for training and deploying AI agents, including novel container orchestration beyond Kubernetes, FastAPI/gRPC APIs, and Terraform-based systems. Collaborates with researchers on high-scale ML environments and production platforms for OpenAI products.
Deploys, develops, and debugs AI-powered tractor-mounted camera systems on farms, spending 50% time in-field across CA/WA and 50% remote. Requires 1-3 years robotics experience with Python/C++, computer vision, and customer-facing skills.
Build and optimize customer-facing Flutter applications, owning features from technical feasibility through release. The role requires strong Dart and Flutter expertise, mobile architecture experience, CI/CD and testing skills, and interest in AI-driven products.
Build and optimize high-performance inference infrastructure for OpenAI's multimodal models handling image, audio, and other non-text inputs at scale. Collaborate with research and product teams on low-latency production systems using GPU workloads and inference tooling.
Develops distributed database systems, core architecture, and optimizes performance for enterprise AI applications. Requires 4+ years in database systems and contributions to infrastructure software like PostgreSQL or Kafka, with a bachelor's degree.
Senior SRE focuses on ensuring reliability, availability, and performance of distributed database systems in cloud-native environments. Requires 4+ years experience with Kubernetes, Docker, cloud platforms (AWS/GCP/Azure), IaC tools, and scripting in Python/Go/Java.
Advances AI capabilities through cutting-edge reinforcement learning research, training intelligent agents for models like o1 and o3. Requires RL research background, strong coding skills, and ability to iterate quickly in a fast-paced environment.
Build backend systems powering AI agents for customer experience, including data pipelines, agent infrastructure, log visualization, and dynamic knowledge features. Requires 1-3 years experience, curiosity, quick iteration, and shipping focus in a startup environment.
Designs and tests zero-knowledge proof systems for biometric likeness verification in privacy-focused identity solutions. Requires expertise in zk-SNARKs/STARKs, cryptography, and prototyping tools like Circom and Semaphore.
DevOps engineer building and maintaining decentralized Web3 infrastructure, including IPFS clusters, Arweave redundancy, cross-chain bridges, blockchain nodes, and Graph Protocol subgraphs. Requires proficiency in IPFS, Arweave, The Graph, Docker, and Kubernetes.
Designs and implements smart contracts in Solidity to encode complex likeness rights, IP agreements, and on-chain compliance. Collaborates with attorneys on legal ontologies and decentralized arbitration mechanisms.
Leads architecture, development, and scaling of high-throughput API-based transaction processing platforms handling massive volumes. Mentors engineers and requires 8+ years experience in distributed systems, cloud platforms like AWS, and languages like Go/Python/C++.
Build and scale simulation, AI, and developer tooling for unmanned defense autonomy systems in Seoul. The role requires 5+ years of software engineering experience, Python or C++, customer communication skills, and experience with simulation, ML infrastructure, or developer tooling.
Designs Automat’s enterprise AI agent platform and brand language across all experience surfaces, working closely with CEO. Requires exceptional taste, end-to-end product experience in high-growth settings, and technical design skills like Figma prototyping.
Supports executive team in scaling growth through strategic initiatives in sales ops, customer success, product marketing, and recruiting. Drives data-driven improvements, process optimization, and high-impact projects in fast-paced AI company. Requires 2-4 years in IB/consulting and bachelor's degree.
Senior Solutions Engineer partners with sales to architect generative AI solutions, create custom demos, and integrate Decagon's AI platform for enterprise customers. Requires 4-6 years pre-sales experience and strong communication skills.
Leads large-scale Applied Infrastructure programs covering capacity planning, resource management, cost attribution, and infrastructure evolution. Requires 7+ years of technical infrastructure program leadership and expertise in cloud infrastructure, distributed systems, and compute, storage, and networking systems.
Drives new enterprise business for AI Agent platform by sourcing pipeline, navigating complex sales cycles, engaging C-level executives, and closing deals with clear ROI. Requires 5-7+ years SaaS enterprise sales experience and consultative selling skills.
Build and scale customer-facing software and AI-powered workflows across the full development lifecycle. The role requires at least five years of React and Python or comparable-language experience, strong AWS knowledge, and proficiency in agile software delivery.
Develop and scale customer-facing software and AI-powered workflows using Python and a modern cloud technology stack. The role requires at least five years of software development experience, strong English and Hungarian communication skills, and experience with distributed systems and agile delivery.
Build and deploy scalable NLP and LLM solutions for voice agents, classification, information retrieval, and agentic applications. The role requires 3+ years of machine learning and NLP experience, strong Python/PyTorch skills, and experience with production model deployment.
Prospects and closes deals for AI automation software through full sales cycle, including cold outreach and presentations. Requires 1+ years SDR/BDR and AE experience, preferably in enterprise AI sales.
Build, hire, coach, and scale an SDR team to generate qualified pipeline meetings with enterprise CX and contact center leaders. Design outbound processes, set KPIs, provide hands-on coaching, and create promotion paths from SDR to AE in a fast-paced AI SaaS environment.