Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.
Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.
Develop and implement scalable AI/ML solutions for generative AI models including large language models and multimodal architectures.
Design multi-year vision and shape the direction of crucial generative AI areas such as text generation, image synthesis, and personalized content.
Partner with product management and stakeholders to identify use cases, analyze patterns, and maintain compliance in healthcare AI.
Aledade is a healthcare technology company that builds web applications and data pipelines to support primary care. They are a large organization with a culture focused on engineering excellence, observability, and incremental delivery.
Train and fine-tune language models powering AI companions and own agent harnesses, agentic loops, and chat interface algorithms.
Build and maintain the full LLM stack from model training to production deployment while tracking cutting-edge NLP research.
Collaborate with validation, content, and dataset preparation teams to design experiments and measure model quality.
Social Discovery Group is one of the world's largest groups of social discovery companies, solving loneliness and disconnection through social entertainment platforms like DateMyAge and Dating.com. The international team of 1000+ professionals works remotely worldwide and is a two-time 'Great Place to Work' winner.
Design, develop, test, and deploy AI/ML models and applications including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.
Build and integrate large language model (LLM) powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic; implement retrieval-augmented generation (RAG) patterns and AI agent workflows.
Develop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.
ExtensisHR is a Professional Employer Organization (PEO) in the U.S. with client employees in all fifty states. They deliver personalized HR services for HR, employee benefits, payroll and taxes, employer risk, compliance, and employee management.
Architect and deploy scalable Generative AI and ML systems into production.
Integrate and optimize LLMs for business planning, including RAG and prompt engineering.
Build conversational interfaces and agentic workflows using Python and modern ML practices.
Anaplan provides an AI-infused scenario planning and analysis platform that optimizes business decision-making. With over 2,400 global customers including Fortune 50 companies, the company fosters a winning culture focused on innovation and diversity.
Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
Work cross-functionally with product, design, and engineering teams to design and build efficient AI solutions for customer support.
Learn and share the latest AI/ML technologies with the team to drive innovation.
Airbnb connects travelers with unique stays and experiences hosted by locals worldwide. With over 5 million hosts and 2 billion guest arrivals, the company fosters authentic community connections and values inclusion and belonging.
Build multi-agent AI systems and automation platforms for Marketing Operations at scale.
Design and implement LLM integrations, backend services, and agentic workflows.
Partner with cross-functional teams to identify high-impact automation problems and ship measurable solutions.
Grafana Labs is the company behind the open observability cloud, offering a fully managed platform with AI capabilities to help organizations monitor and optimize their systems. With over 1,600 team members across 40+ countries and backed by top investors, we maintain a 100% remote, collaborative culture rooted in open source and innovation.
Lead development of core machine learning systems, fine-tuning LLMs and building NLP pipelines to extract data from insurance documents.
Architect training workflows using user feedback, and build intelligent agents for complex web interfaces.
Design evaluation pipelines and scalable systems for training, inference, and feedback in a fully remote role.
Total Performance Consulting provides AI, consulting, software development, and nearshore staffing services. The company operates with a small, fast-moving team and works on meaningful problems alongside its founders.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Prototype and improve LLM-based features for tasks such as entity extraction, summarization, and document comparison.
Develop and evaluate prompt strategies, embedding approaches, and semantic search workflows.
Collaborate with engineers and product managers to integrate your work into the live platform.
Outmarket is building the AI-powered operating system for commercial insurance. Our team brings experience from Uber, Meta, Adobe, and IBM Watson, and we move quickly from idea to deployment.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Train, fine-tune, and optimize large language models powering AI companion and conversational systems at scale.
Design and maintain agentic frameworks and LLM orchestration systems, including reasoning loops and chat orchestration.
Research state-of-the-art NLP techniques and implement alignment methods such as RLHF and DPO to improve model quality.
We are an AI-powered job matching platform that connects candidates with hiring companies through objective, fair review processes. As a globally distributed, innovation-focused company, we foster a collaborative engineering culture with continuous learning opportunities.
Drive AI/ML strategy, including the agentic AI platform and omni-channel resolution across Chat, Voice, and Generative UI.
Lead model strategy execution and build enterprise-grade ML infrastructure for Fortune 500 scale operations.
Recruit and scale a global AI/ML engineering organization of 100+ across the US, India, and Europe.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. It fosters an AI-native culture where technology and talent are unstoppable together, with a global team and flexible work personas.
Design, train, evaluate, and ship ML systems for governance and security, starting with prompt injection detection and behavioral anomaly detection.
Build supporting infrastructure including data pipelines, feature stores, model serving, and evaluation harnesses.
Set technical direction for ML work, own architecture, evaluation methodology, and model lifecycle.
Docker provides developer tools for building, sharing, and running applications across Docker Desktop, Docker Hub, and Docker Scout. With over 20 million monthly users and a globally distributed remote-first team, Docker is trusted by solo founders to the world's largest companies.
Design and develop machine learning solutions ensuring accuracy, performance, security, and scalability
Implement and maintain end-to-end AI/ML pipelines from data ingestion to deployment
Collaborate across planning, design, and code review to raise overall code quality
We shape the future of communications from remote-first environments. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide, with a strong culture of connection and inclusion.
Design, build, and maintain production-grade AI systems and customer-facing AI features.
Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services.
Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly.
Givzey is a fast-growing and innovative technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, Givzey’s platform has already helped organizations raise $10M+ through autonomous engagement.
Lead the development of Lumin's AI roadmap spanning Generative AI, agentic AI, and machine learning, and build a high-performing team of engineers and data scientists.
Architect scalable data pipelines and AI capabilities, ensuring performance, reliability, and compliance with regulatory and security requirements.
Partner closely with product and engineering leadership to integrate cutting-edge AI solutions across all product areas.
Lumin Digital is a digital banking platform provider for credit unions and community banks. As a 100% cloud-native company, they foster a culture of curiosity, innovation, and trust with a team of professionals dedicated to continuous improvement.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products.
Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling.
Develop robust evaluation frameworks that give us confidence our models are safe, accurate, and improving over time.
Curai aims to transform healthcare delivery using artificial intelligence and clinical expertise to make care more affordable, accessible, and effective. They focus on improving health outcomes, expanding access to care, and setting new standards for trustworthy, patient-centered healthcare.
Talk to people, then build things, working directly with business and engineering teams to understand what's slowing them down.
Own the whole thing by prototyping, hardening, deploying, and monitoring internal tools that need to work reliably.
Write code other people can maintain building clean systems and establishing practical patterns for secure AI usage.
Promenade empowers local businesses with products and services that allow them to thrive online and offline. They build vertically-focused software catered to each industry, leveling the playing field between small businesses and large aggregators; backed by industry investors.