Design and build AI solutions for real-world business problems.
Own the end-to-end lifecycle of AI features.
Develop and optimize LLM-based applications.
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly at the push of a button. They are committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences.
Design, build, and operate production-grade AI solutions that support GTM use cases.
Lead the technical architecture and implementation of GenAI and ML systems.
Integrate AI capabilities into existing GTM platforms and workflows.
Chainguard is the secure foundation for software development and deployment, providing guarded open source software. Founded by industry experts, they've built the largest library of open source software that is secure by default and value customer obsession, intentional action, and trust.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.
Enable scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads.
Manage model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.
Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures
Rapidly prototype internal AI assistants and automation tools across business functions
Develop shared connectors to major LLM providers and internal data sources
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience. As they enter the next phase of rapid growth, they are seeking people to help lead the journey as a devoted and capable team.
Analyze requirements and propose innovative AI-native solutions to technical problems
Write clean scalable code
Test and deploy features & services
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. They have exciting traction and just closed a $5M seed round to expand their engineering and product organization, as well as add additional services.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether leverages AI to match job seekers with roles. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Design and ship production-grade agentic AI systems that meaningfully improve customer workflows and internal operations.
Establish a clear technical architecture for AI at Moxie, including agent orchestration, tool/function calling and observability.
Integrate AI deeply into the Moxie platform, ensuring AI systems are secure, resilient, cost-aware, and aligned with a regulated environment.
Moxie empowers ambitious aesthetic entrepreneurs to build profitable, independent practices. They are a global, remote-first team of more than 140 people, supporting hundreds of practices nationwide, aiming to unlock sustainable success for aesthetic entrepreneurs.
You will work to build, maintain and improve our Torc ML frameworks.
You have built ML solutions that have reached production.
You want to build, maintain, grow, and improve our ML platform.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight.
Develop, train, fine-tune, and deploy machine learning models.
Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision.
Design and develop RESTful APIs for AI model deployment using Flask or FastAPI.
Jobgether is a platform that partners with companies to connect them with talent. They use an AI-powered matching process to ensure applications are reviewed quickly and fairly.
Design and build advanced machine learning models for generative tasks.
Optimize models for performance enhancements and scalability.
Preprocess and manage large datasets for model training.
Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Define requirements with stakeholders to solve problems.
Develop machine learning models for various data types.
Automate complex data engineering and analytic pipelines.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows.
Develop systems that maintain conversational context across complex multi-turn interactions.
Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem.
Apollo.io provides sales and marketing teams with easy access to verified contact data and tools to engage and convert contacts in one unified platform. They are a fast-growing SaaS company with over 500,000 companies and millions of users globally, valued at $1.6 billion.
Architect and optimize distributed training and inference systems for large-scale AI models
Design and deliver customer-focused solutions that maximize performance and business value
Lead the transition of ML pipelines from POC to scalable production systems
The company offers an AI-centric cloud platform reshaping the landscape of artificial intelligence. They provide infrastructure, tools, and services for developers to service the explosive growth of the global AI industry, catering to Fortune 1000 companies, startups, and AI researchers.
Building, testing, and shipping ML-powered features that enhance our ad generation experiences
Designing scalable ML pipelines in collaboration with our platform teams
Working closely with PMs, designers and engineers to align on user needs and product direction
Canva is a company that is redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ. You have flexibility in how and where you work.
Architect, design, and develop proof-of-concepts and early-stage production systems leveraging LLMs, agentic workflows, vector databases, and emerging AI technologies.
Build integrations with platforms such as Microsoft Copilot, ChatGPT, and other leading models using APIs, SDKs, and custom toolchains.
Create advanced prompts, system instructions, tools, and agent architectures to elevate automation, reasoning, and decision-making across business processes.
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. They have grown from start-up to industry leader by innovating, simplifying, and valuing people and are a subsidiary of PROG Holdings. Prog Tech embodies the modernity and transformational vision that is core to their business evolution.
Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.
Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.
Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.