Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
Develop and maintain analytical applications and data pipelines using Python, Streamlit, and Django.
Productionize statistical models and machine learning workflows from data scientists and statisticians.
Contribute to AI-powered features using techniques like retrieval-augmented generation and structured extraction.
CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated healthcare solutions for transplant patients and caregivers. The company offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, with a strong commitment to innovation and patient impact.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Build and productionize traditional ML models (classification, regression, anomaly detection) from proof of concept through deployment.
Develop agentic AI tools and data products that turn one-off analysis into durable, self-serve capabilities for stakeholders.
Partner with engineering to productionize models within Bestow's pipelines, including feature engineering, validation, and monitoring.
Bestow is a vertical technology platform that unifies the life insurance value chain, enabling carriers to launch products quickly with AI and automation. Backed by leading investors and trusted by major carriers, the company offers flexible work, meaningful benefits, and substantial growth opportunities.
Build tooling for capturing and processing data from agents and humans at significant scale.
Solve hard problems around compute, orchestration, scaling, security, and reliability.
Help develop approaches for training, benchmarking, and evaluating AI agents.
Prolific builds human data infrastructure for AI development, connecting researchers with a global pool of participants to collect high-quality, ethically sourced behavioral data. They are a mission-driven company at the forefront of AI innovation, with a remote culture and a focus on impactful work.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Lead the end-to-end delivery of AI workflows, from problem discovery to deployment and iteration.
Design and build orchestrators, sub-agents, and knowledge systems to enhance advisor and customer experiences.
Establish quality standards, monitor performance, and collaborate with cross-functional teams to deliver impactful solutions.
The company specializes in AI-driven customer success solutions. They maintain a global, remote-first team with a culture of creativity and collaboration.
Design and build AI agents and automation to solve real problems across engineering, product, and delivery.
Partner with stakeholders to identify high-leverage opportunities and deliver end-to-end solutions.
Stay current with LLM and agentic frameworks to drive innovation in healthcare technology.
HealtheDGE provides AI-powered operational infrastructure for health insurance companies, helping them modernize operations. The company is experiencing strong market momentum and invests in its people, offering a collaborative culture focused on innovation.
Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.
Run supervised fine-tuning and post-training experiments, establishing benchmarks and evaluation harnesses.
Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.
Stream provides APIs and SDKs for building activity feeds, chat, and voice/video, powering over a billion end users worldwide. We are a team of over 120 peers from over 35 countries, with a casual social culture that values transparency and excellence.
Design, build, and deploy generative AI systems using large language models, RAG, and agentic workflows.
Own the full lifecycle from experimentation to production, including evaluation, infrastructure, and monitoring.
Collaborate with Product, Engineering, and Data teams to turn AI ideas into scalable, secure customer experiences.
Typeform is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes that people enjoy. With 500 million responses annually, we are a diverse team of 500+ employees committed to excellence, respect, and transparency.
Bridge business needs and AI engineering to deliver production-ready solutions for enterprise customers.
Partner with cross-functional teams to identify high-value opportunities and turn them into scalable deployments.
Take complex workflows from discovery and prototyping through production adoption and optimization.
The company is a technology firm specializing in AI-powered enterprise solutions. It fosters a collaborative culture focused on innovation and continuous learning, with a team of professionals dedicated to driving customer success.
Design, develop, and evaluate machine learning models using real-world health data for personalized interventions.
Work with engineering teams to integrate models into production digital therapeutic solutions as Software as a Medical Device.
Ensure models meet regulatory, privacy, and explainability requirements while exploring generative AI applications.
They develop AI and machine learning solutions for digital therapies to improve patient outcomes. They are a technology-focused healthcare company with a remote-first culture.
Design and build scalable ML and generative AI systems for customer-facing and operational use cases.
Develop end-to-end pipelines for training, deployment, and monitoring of AI solutions in production.
Collaborate with cross-functional teams to embed AI into core healthcare systems and drive technical ownership.
Redcare Pharmacy is Europe's No.1 e-pharmacy, dedicated to digital healthcare. The company fosters a collaborative environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
Develop forecasting and optimization solutions to support complex business and operational decisions.
Apply experimentation and causal inference techniques, and explore Generative AI where applicable.
Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.
Design and run experiments to understand model behavior and test new ideas.
Create datasets, benchmarks, and evaluation methods for hard problems.
Work directly with AI labs to turn open-ended goals into concrete research projects.
Vetto builds the infrastructure for next-generation AI training data. They partner with the world’s top AI labs and offer a fast, flat, remote-first culture with high ownership.
Build and own training pipelines for ML models, including data prep, fine-tuning, and experiment tracking.
Develop inference and serving layer with model gateway, routing, caching, and cost optimization.
Own release path for model-layer artifacts with canary deployments and monitoring for regressions.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting through its NodeZero platform. The team is a fusion of former special operations cyber operators, startup engineers, and cybersecurity practitioners, fostering a culture of respect, collaboration, and ownership.
Generate and implement machine learning models to solve complex communications challenges.
Identify opportunities to improve model performance and scalability.
Perform data analysis and feature engineering to enhance model accuracy.
Cultivate a collaborative environment by sharing insights and best practices with the team.
Contribute to the development of Twilio's AI-driven hiring and communications platforms.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences. With a remote-first culture and strong emphasis on connection and global inclusion, Twilio values diverse experiences and encourages employees to bring something new to the table.