Design, implement, and maintain ML-driven services and data workflows in Python.
Apply software engineering best practices, including clean code, testing, CI/CD, and documentation.
Deploy and operate ML services on GCP, using tools like Cloud Run, GKE, and BigQuery.
CertifyOS builds the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, and credentialing via an API-first platform. They are backed by leading investors and built by a team with deep experience in provider data systems, emphasizing authenticity, accountability, and collaboration.
Develop and maintain scalable Go code for AI/ML components within a cloud platform.
Design and improve AI/ML services ensuring reliability, performance, and maintainability.
Collaborate with cross-functional teams to translate requirements into technical solutions.
Jobgether uses AI-powered matching to connect candidates with roles. They are a remote-first company with a focus on efficient and fair hiring processes.
Lead the development of multimodal capabilities for next-generation AI systems.
Own the multimodality roadmap and drive adoption across AI models.
Design and execute experiments across the full research lifecycle.
They develop advanced AI systems with multimodal capabilities for software development and complex problem-solving. The team is collaborative, remote-first, and focused on innovation and research excellence.
Build and evolve a personalized recommendation system for Grafana's Interactive Learning tool.
Develop, validate, and operate applied models, owning model training, serving, and monitoring.
Partner with software engineers and data analysts to productionize models and ship incremental improvements.
Grafana Labs is the company behind the open observability cloud, providing a flexible and scalable managed platform for monitoring and analytics. With over 1,600 team members across 40+ countries, the company fosters a global, collaborative, and innovation-driven culture.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Build integrations with healthcare and financial systems
Automate end-to-end data ingestion and delivery pipelines
Design high-throughput, low-latency systems where performance is a mission-critical requirement
Anomaly uses AI and healthcare transaction data to decode complex payer behavior and close the knowledge gap between providers and payers. Founded in 2020, it is a small, remote-friendly team with a hacker mindset.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Design, build, and maintain automated AI evaluation pipelines for production LLM applications.
Develop prompt engineering strategies and evaluate model performance using quantitative methods.
Analyze production AI behavior with Python, SQL, and statistical techniques to identify improvement opportunities.
GovWorx provides an AI-powered platform, CommsCoach, that supports 9-1-1 and emergency communications centers by automating quality assurance, training, and real-time call evaluation. The company is a growing technology team focused on public safety, collaborating across AI, engineering, product, and data science.
Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.
Lead one of three delivery lanes of AI initiatives at Redcare: Forward deployed AI engineering.
Support your team members in driving transformation via stakeholder management and removing obstacles.
Work 50% hands-on overseeing automation tasks and standardization initiatives to accelerate onboarding.
They are Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. They strive to create a healthy collaborative work environment where every employee feels valued and inspired.