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Engineering Manager leading teams to optimize ML inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.
Drives adoption of safe frontier AI by securing strategic deals with mid-market tech companies, running full sales cycles, expanding accounts, and collaborating cross-functionally. Requires 4+ years enterprise sales experience with emerging tech and technical fluency.
Leads Workday Financials implementation, designs Financial Data Model and Chart of Accounts for reporting, develops Prism Analytics solutions, and collaborates cross-functionally for ERP adoption. Requires 8+ years experience with 5+ years in Workday Financials.
Drive AI adoption and revenue growth within DOD/IC agencies, owning full sales cycles while navigating complex procurement, compliance, and security requirements. Requires 7+ years enterprise sales experience in DOD/IC with active security clearance.
Investigates and disrupts misuse of AI systems for cyber threats like malware and influence operations. Develops detection techniques and intelligence reports, requiring proficiency in SQL, Python, and threat intelligence frameworks.
Research Engineer optimizes and scales production pretraining of frontier AI models, handling performance, debugging, experiments, and on-call incidents. Requires expertise in JAX, TPU, PyTorch, or large-scale ML systems with a 50/50 research-engineering balance.
Research Engineer implements and scales post-training techniques like Constitutional AI and RLHF for production AI models, optimizing capabilities, alignment, and safety. Requires strong Python skills, ML systems experience, and ability to handle complex distributed training pipelines.
Builds large-scale infrastructure for AI scientist training, evaluation, and deployment, resolving bottlenecks in distributed systems for scientific AGI. Requires 6+ years in infrastructure engineering with expertise in ML stacks, containers, and data pipelines.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.
Builds and scales backend services and APIs for OpenAI's knowledge systems, integrating data and AI models into workflows. Requires 4+ years backend experience with Python, FastAPI, Postgres, and distributed systems.
Creates UI animations, character designs, and interactive motion for mobile/desktop apps using Rive, Lottie, and AI tools. Collaborates with eng/product/design; 2+ years exp in motion/game design required.
Senior Android Engineer builds and owns monetization experiences, shared frameworks for account, payments, and trust flows across OpenAI mobile apps. Requires 4+ years Android experience, Kotlin fluency, and expertise in performance, security, and platform integrations.
Freelance translators and linguists edit AI-assisted translations, localize scripts, and ensure linguistic accuracy, cultural nuance, and natural spoken flow across multimedia content. The role requires professional translation or localization experience and native or near-native fluency in supported languages.
Owns end-to-end technical lifecycle of mission-critical federal deployments, ensures compliance with security controls, contributes to core codebase, and shapes product direction from field learnings. Requires 2+ years software engineering experience and federal compliance expertise.
Leads end-to-end quality for high-speed interconnect hardware in AI supercompute platforms, from design reviews to supplier management and failure analysis. Requires 7+ years in quality engineering for interconnects in high-performance compute systems.
Develops theories of intelligence grounded in neural network internal structures, focusing on belief geometries in LLMs and biological brains. Conducts experiments bridging mathematics, ML interpretability, and safety research; requires PhD-level quantitative depth and hands-on coding.
Supports customer success by reviewing research studies, assisting recruitment, troubleshooting platform issues, and optimizing workflows with automation. Collaborates with GTM and engineering teams; requires 1-2+ years managing customer relationships and strong organizational skills.
Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management tools. Requires 8+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
Own and scale paid media campaigns across Google, Meta, LinkedIn, and YouTube for B2B SaaS targeting tradespeople. Audit setups, run experiments, optimize funnels, and track metrics like ROAS and CAC. Requires 2+ years hands-on platform experience and data storytelling skills.
Co-designs AI-optimized hardware with vendors, develops performance models, and influences architectures for efficient ML training and inference. Requires 4+ years experience in software/hardware co-design, GPU programming, and collaboration with ML/kernel teams.
Senior Software Engineer building Decagon's internal developer platform, focusing on CI/CD pipelines, developer tooling, observability standards, and workflows that accelerate engineering productivity and reduce toil. Requires 4+ years experience in platform/devtools/infra with strong coding and collaboration skills.
Partner Deployed Engineers enable Global Systems Integrators to deploy and scale Cognition's AI platforms like Devin and Windsurf. Requires strong engineering foundation, partner expertise, communication skills, and willingness to travel.
Partner-facing technical expert who enables global systems integrators to deploy, scale, and deliver value with Devin and Windsurf. The role combines hands-on technical enablement, partner-led pilots, complex integration support, and ecosystem development, with frequent travel including to India.
Enables global systems integrator partners to deploy, scale, and operationalize Devin and Windsurf across customer environments. The role combines hands-on technical enablement, complex integration support, partner relationship management, and frequent travel to India and partner sites.
Leads Agent Orchestration team building core execution layer for AI agents, coordinating model reasoning, tool use, and evaluation at scale. Requires 2+ years engineering management, strong IC technical depth in distributed systems, and cross-functional collaboration.
Own end-to-end paid search channels including Google Ads, Apple Search Ads, and Bing Ads to acquire high-intent users for a voice AI dictation app. Requires 4+ years managing $50k+/month budgets with expertise in CAC/ROAS optimization, GA4, and MMPs like AppsFlyer.
Research Engineer building evaluations, search systems, and training agentic ML models for tool integration in AI agents. Requires strong research execution, rapid prototyping, and collaboration to productionize ideas.
Builds and owns AI-native products end-to-end using idiomatic Python, improving APIs/SDKs for agent-tool integrations. Requires mastery of Python, experience with language models, and strong product taste for developer experiences.
Builds and owns AI-native products end-to-end, improving APIs/SDKs for agent-tool integrations like GitHub and Salesforce. Requires strong product engineering, AI experience, customer focus, and excellent documentation skills.
Builds and scales platform infrastructure enabling AI agents to integrate with tools like GitHub and Salesforce. Evolves APIs, manages code runtimes, optimizes performance, and collaborates with product teams on backend distributed systems.
Lead battery system architecture, design, qualification, and integration for high-voltage (270V+) power systems supporting 100kW applications in harsh environments. Requires 5+ years delivering battery systems to market and a BS in Electrical Engineering.
Supports founding team on high-priority technical projects with frontier AI labs, coordinating datasets, building AI-powered operational tools, managing expert teams, and driving process improvements. Requires strong AI interest, technical fluency, and ability to thrive in ambiguity.
Founding Engineer builds production-grade backend/full-stack systems for AI data infrastructure at a YC-backed startup, tackling scalability and owning end-to-end execution from ambiguous requirements. Prefers 2+ years SWE experience, ideally at startups with applied AI/RL knowledge.
Co-architects production AI agents with customers, owns pre-sales technical wins via POCs and evaluations, and advises on deployment/operation of agent-based apps using LangChain tools. Requires 3+ years experience, strong Python/JS, and agent/LLM application design.
Entry-level SiteOps engineer supporting deployment, validation, monitoring, and first-line troubleshooting of AI clusters in data center environments. Requires a relevant engineering degree or equivalent experience, familiarity with server hardware, networking, and Linux, and readiness to work hands-on in data centers.
Staff engineer owns core platform and systems architecture, leads technical initiatives, makes high-leverage decisions for speed/reliability/scale, and partners with product/leadership. Requires 9+ years experience in production systems at staff/principal level.
Leads technical delivery team building and deploying AI agents for enterprise customers, managing end-to-end executions, scaling operations, and influencing product roadmap. Requires 10+ years in technical customer-facing roles and 5+ years people management.
Develops and executes go-to-market strategies, product messaging, and assets for AI-native enterprise software. Requires 4+ years in B2B product marketing, strong communication, and understanding of generative/agentic AI.
Manage and scale a team of 6-10 SDRs/BDRs focused on enterprise prospecting and pipeline generation. Requires 2+ years leading sales development teams in SaaS, quota-carrying experience, and proficiency in Salesforce and automation tools.
Designs and scales distributed data infrastructure for large-scale multimodal AI training and evaluation. Collaborates with researchers to build reliable, high-performance systems in a fast-paced environment.
Founding Account Executive owns full-cycle sales to Systems Integrators at an early-stage AI startup, running technical demos, leveraging AI tools, and shaping GTM strategy. Requires 5+ years B2B SaaS sales experience, SI fluency, and NYC presence.
Software engineer focused on reliability and uptime of OpenAI's GPU/HPC compute fleet through automation, monitoring tools, and performance optimization. Requires proficiency in Python/Go, Linux, networking, and data analysis skills.
The Software Integration Engineer turns ambiguous inference ideas and prototypes into validated capabilities across AI frameworks, runtimes, compilers, kernels, distributed systems, and hardware. The role requires strong programming fundamentals, cross-component debugging, ownership, and comfort working on accelerated timelines.
Design and deploy low-speed motion planning and control modules for autonomous vehicles, including vehicle-dynamics characterization and optimal-control solutions. The role requires 3+ years of production software experience, hands-on vehicle testing, strong control and numerical-analysis knowledge, and high-performance C++.
Develop and optimize high-performance ML and HPC kernels in low-level assembly and CSL for Cerebras' custom AI hardware architecture. Requires strong C++/Python skills and hardware architecture knowledge.
Build mapping and localization software for autonomous vehicles and mobile robots across embedded automotive systems and cloud infrastructure. The role requires a master's degree, 3+ years of relevant experience, and expertise in C++ and/or Python.
Designs and maintains reliable infrastructure for petabyte-scale video processing across multi-cloud environments. Owns incident response, observability (Prometheus, OpenTelemetry), security, and CI/CD tooling with 3+ years experience in scalable systems.
Builds scalable full-stack systems integrating agent-based reasoning, optimization, and simulation for industrial data. Works autonomously on customer-facing projects with senior mentorship, strong in backend/infra and basic frontend.
Owns full sales cycle for enterprise customers fighting fraud on platforms, from discovery to close and expansion. Requires 3-7+ years selling SaaS/infrastructure to technical stakeholders with track record in complex, high-ACV deals.
Solutions Architect for Public Sector drives technical pre-sales and post-sales, builds PoCs with NLP/AI/LLM tech, and owns customer relationships. Requires Security Clearance, 5+ years public sector experience, and Python proficiency.