Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems, from model development to production deployment, ensuring reliability and quality for real users.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems, from model development to production deployment, solving practical problems in classification, search relevance and personalization.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML models from development to production, solving practical problems in classification, search relevance and personalization while ensuring system reliability and efficiency.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, eliminating misinformation and reducing coordination costs. You will own the lifecycle of ML systems from development to production deployment. The work involves solving practical problems in model quality, reliability and user-facing performance for a global audience.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, focusing on practical problems like search relevance and personalization. The role requires balancing model quality with latency and cost in production environments.
Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.
Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval to enhance user communication and collaboration.
Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of models for classification, ranking, and retrieval to enhance user communication and collaboration.
Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval, directly impacting user experience in a new agent-first mobile communication platform.
Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.
Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.
Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval to enhance user communication and collaboration.
Join a small, high-talent-density team building an agent-first mobile communication app designed to integrate AI into daily workflows with minimal prompting. You will own the development of ML systems for classification, ranking, and retrieval, taking projects from model creation to production deployment. The team values independent execution and collective decision-making, aiming to eliminate misinformation and reduce coordination costs through intelligent, proactive applications.
Join a team building proactive, AI-native applications for email, notes and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking and retrieval to enhance user communication and collaboration.
Join a mission to build proactive, AI-native applications for daily communication and workflows. The team is developing an agent-first mobile app that integrates intelligence into conversations and tasks with minimal prompting. As an Applied Machine Learning Engineer, you will own the lifecycle of ML systems from development to production. You will solve practical problems in model quality, reliability and efficiency for real-world users.
Join a mission to create proactive, AI-native applications for daily communication and workflows. You will build and improve ML systems that power an agent-first mobile app, minimizing the need for complex prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, solving practical problems to enhance user experience.
Join a team building proactive, AI-native applications for email, notes, and tasks that require minimal prompting. As a Machine Learning Engineer, you will own the development and deployment of systems for classification, ranking, and retrieval to enhance user communication and collaboration.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, improving accuracy and reliability for real users. The work involves solving practical problems in classification, search relevance and personalization.
Join a mission to create proactive, AI-native applications for everyday tasks like communication and organization. You will build and improve ML systems that power an agent-first mobile app, ensuring intelligence is integrated with minimal prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, solving practical problems to enhance user experience.
Join a team building proactive, AI-native applications for daily communication and collaboration. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.
Join a mission to create proactive, AI-native applications for daily communication and workflows. You will build and improve ML systems that power an agent-first mobile app, minimizing the need for complex prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, ensuring reliability and quality for real users.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.
Join a mission to create proactive, AI-native applications for everyday tasks like communication and organization. You will build and improve ML systems that power an agent-first mobile app, ensuring intelligence is integrated with minimal prompting. The team values high talent density and independent execution. You will take ownership of model development from training to production deployment, solving practical problems to enhance user experience.
Join a mission to create proactive, AI-native applications for daily tasks like communication and coordination. This role involves building and improving ML systems that power an agent-first mobile app, aiming to integrate intelligence into workflows with minimal prompting. You will take ownership of model development from training to production deployment, solving practical problems in classification, search relevance and personalization. The team values independent execution, collective decision-making and rapid iteration.
Join a mission to create proactive, AI-native applications for everyday tasks like email and calendar management. The team is building an agent-first mobile communication app that integrates intelligence into conversations and workflows with minimal prompting. As an Applied Machine Learning Engineer, you will own the lifecycle of ML systems from development to production. You will solve practical problems in model quality, reliability and deployment for real-world users.
We are developing proactive applications that integrate intelligence into daily conversations and workflows with minimal prompting. Our first product is an agent-first mobile app designed to reduce coordination costs and eliminate misinformation through reliable AI assistance. As a Member of Technical Staff, you will own the lifecycle of ML models from development to production. You will focus on solving practical problems in classification, retrieval, and personalization while ensuring system reliability and efficiency for real-world users.
Join a small, high-talent-density team building proactive applications that integrate AI into daily communication and workflows with minimal prompting. You will take ownership of ML systems from development to production, ensuring reliability and quality for real users.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, focusing on practical problems like search relevance and personalization. The role requires balancing model quality with latency and cost in production environments.
As a Technical Lead, you will oversee the design and delivery of end-to-end systems, from user-facing interfaces to backend services and cloud infrastructure. You will provide hands-on guidance to developers, define coding standards, and ensure best practices across the software development lifecycle. The team focuses on unifying technology and data for private markets, leveraging AI to reimagine workflows. You will balance performance, reliability, and user experience while driving the adoption of cloud-native architectures.
We are developing an agent-first mobile application designed to integrate AI into daily communication and workflows with minimal prompting. Our mission is to eliminate misinformation and reduce coordination costs by bringing intelligence to everyday tasks. As a Member of Technical Staff, you will own the lifecycle of ML models from development to production. You will work on practical problems involving search relevance, user behavior personalization, and system reliability.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the development and deployment of ML models, improving accuracy and reliability for real-world users. The role involves solving practical problems in classification, search relevance and personalization.
Join a small, high-talent-density team building proactive AI applications that require minimal prompting. You will own the development and production deployment of ML systems powering an agent-first mobile communication platform used for daily coordination and collaboration.
You will develop ML systems that power an agent-first mobile communication app, aiming to integrate AI into daily workflows with minimal prompting. The work covers the full lifecycle from model creation to production deployment, focusing on practical problems and real-user impact. The team values independent execution and collective decision-making. You will own specific areas such as ranking, retrieval, and personalization, ensuring models meet strict standards for accuracy, latency, and reliability.
Join a team building proactive, AI-native applications for daily communication and coordination. The goal is to integrate intelligence into workflows with minimal prompting, starting with an agent-first mobile app. You will own the lifecycle of ML systems from development to production, solving practical problems in model quality and reliability for real users.
Join a small, high-talent-density team building proactive AI applications that require minimal prompting. You will own the development and production deployment of ML systems powering an agent-first mobile communication platform.
As Head of Data Science & Analytics, you will define the scientific direction for Leap’s analytical capabilities. You will develop methods to identify patients needing specialty care, forecast treatment demand, and measure program impact on costs and adherence. Working closely with Finance, Clinical, and Product leaders, you will translate complex healthcare data into actionable insights that drive business strategy and operational efficiency.
You will drive the product direction for Leap’s data platform, managing intake and prioritization for Data Engineering. The role requires translating business needs into scoped projects with clear milestones while working closely with engineers and stakeholders across the company.
Join Halter as a Product Specialist to bridge the gap between technical development and real-world farming applications in New Zealand. You will lead projects, support on-farm trials, and ensure the Halter collar and app deliver tangible value to graziers. This position requires deep engagement with customers and internal teams to refine product features based on direct feedback. Based in Auckland or Morrinsville, you will spend half your time traveling to farms to support implementation and gather insights.
Join Halter as a Product Specialist focused on the Australian market, specifically based in Western Australia. You will take ownership of product implementation and development feedback loops, ensuring the virtual fencing system delivers tangible value to graziers. This position requires close collaboration with the central product team in New Zealand and direct engagement with farmers to drive innovation and customer success.
As a Staff Software Engineer at BJAK, you will own the technical design and execution for major products and systems. You will work hands-on to build scalable solutions, drive architecture decisions, and raise engineering standards while collaborating with a distributed international team.
As a Staff Software Engineer at BJAK, you will own the technical design and execution for major products and systems. You will work hands-on to build scalable solutions, drive architecture decisions, and raise engineering standards while collaborating with a distributed international team.
As a Principal Software Engineer at BJAK, you will own the technical design and execution for major products and systems. You will work hands-on to build scalable infrastructure while driving architecture decisions and raising engineering standards across the organization. This position requires strong leadership in solving complex engineering problems and turning ambiguous product requirements into clear technical solutions. You will collaborate with distributed teams to ensure reliability, security, and maintainability in high-scale environments.
As a Staff Software Engineer at BJAK, you will own the technical design and execution for major products and systems. You will work hands-on to build scalable solutions, drive architecture decisions, and raise engineering standards while collaborating with a distributed international team.
You will take technical ownership of complex products, balancing architecture decisions with hands-on implementation. The role requires designing scalable systems, reviewing code, and guiding engineers to raise the overall engineering bar. BJAK is a leading mobile-first insurance and financial platform in Southeast Asia, expanding into spending, saving, and investing. You will collaborate with product, design, and AI teams to ship high-quality solutions that help users manage their money effectively.
As a Principal Software Engineer at BJAK, you will own the technical design and execution for major products and systems. You will work hands-on to build scalable solutions, drive architecture decisions, and raise engineering standards while collaborating with a distributed international team.
As an Engineering Lead at BJAK, you will own the technical execution for major systems while remaining deeply involved in coding and architecture. You will translate ambiguous product challenges into clear technical solutions, ensuring scalability and reliability across backend, frontend, and infrastructure. This position requires a leader who can raise engineering standards through better design, testing, and observability practices. You will mentor engineers and drive critical initiatives in a distributed, fast-paced international environment.
You will lead a high-performing engineering team responsible for building and scaling products within BJAK's wealth management platform. This position requires balancing technical depth with people leadership to ensure rapid, reliable delivery of customer-facing features. The role demands close collaboration with product, design, and AI teams to translate ambiguous problems into clear technical execution. You will set engineering standards, drive architecture decisions, and foster a culture of ownership and continuous improvement across frontend, backend, and full-stack development.
You will take technical ownership of complex products, balancing architecture decisions with hands-on coding. The team works globally to build next-generation financial and productivity tools, focusing on scalable and reliable systems.
You will take technical ownership of complex products, balancing architecture decisions with hands-on implementation. The role requires designing scalable systems, reviewing code, and guiding engineers to raise the overall engineering bar. BJAK is a leading mobile-first insurance platform in Southeast Asia, expanding into spending, saving, and investing. You will collaborate with product, design, and AI teams to ship high-quality financial applications globally.