DuckDuckGo is hiring a Staff Data Scientist to join the Data Science Functional Team. The role focuses on improving search ranking and relevancy through projects such as lexical matching, document-authority signals, search evaluations, and using LLMs for feature generation and ranking. The position requires 10+ years in Data Science (including 2+ years at Staff/Principal/Director level), production ML deployment experience, strong Python and advanced SQL skills, and experience with search infrastructures (e.g., Vespa, Elasticsearch/OpenSearch, Solr). The role is remote across many listed countries, expects ~40 hours/week on average, and requires travel ~2 times/year for company meetups. Compensation listed as $222,033 USD annually plus stock options.

The AI Specialist will deliver the AI LCC's core programming (including a weekly AI AAA Series), develop partnerships with AI companies, build and scale a global educator community across WhatsApp and other platforms, design learning circles, pilot AI-driven tools for summarization and translation, and track community and program health metrics. The role requires hands-on experience with foundation models and prompt engineering, community management on social-first platforms, multimedia content skills, and experience working across diverse, multi-time-zone contexts. Travel up to 30% is expected; the role does not offer visa sponsorship.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

NVIDIA seeks a Senior AI/HPC Engineer / Solution Architect to deploy, manage, and maintain Linux-based AI/HPC infrastructure for customers. The role involves system and network design, cluster management, automation, troubleshooting, documentation and customer-facing support for large GPU clusters and AI workloads. Requires 5+ years of relevant deployment/support experience and strong Linux, networking, scheduler, and automation skills.

Lead a small team (2 direct reports plus a UI/UX specialist) to identify, prioritize and deliver AI-forward technology solutions across Teach For All's global network. Responsibilities include strategy development, requirements gathering, solution delivery, community building, stakeholder engagement, and reporting; role requires 7+ years experience and is 100% remote on a three-year fixed-term contract with up to 20% travel.

Arize AI seeks an AI Application Engineer (based in Singapore) to debug and fix platform issues, build internal generative-AI tools and copilots, and prototype customer use cases. Required: 2–5 years software experience, strong Python and Go skills, hands-on generative AI/LLM work, familiarity with OpenTelemetry and distributed tracing, and willingness to work cross-functionally with Engineering, Product, and Solutions. Customer-facing experience and open-source contributions are bonuses.

Join NVIDIA Research Singapore to research and design efficient generative AI and foundation models (LLMs, visual generation, robotics) optimized for NVIDIA GPUs. Responsibilities include publishing original research, collaborating with internal and external teams, mentoring interns, and transferring technology to product groups. Requires a PhD in CS or EE, ~4 years' experience, strong Python prototyping skills; C++ and CUDA and familiarity with PyTorch are a plus.

Senior Solutions Architect in GitLab’s Solutions Architecture Center of Excellence acting as an AI subject matter expert. Responsibilities include AI-focused solution strategy, technical pre-sales (POV/POC), architecture design, workshops, integration guidance, influencing product direction with field feedback, and acting as the technical lead for strategic accounts. Candidates must be based in and have full-working rights in either Australia or Singapore.

NVIDIA Research Singapore is hiring a Research Scientist to research, design and accelerate generative AI models (LLMs, foundation models, visual generation, robotics) with a focus on GPU-efficient computing. Responsibilities include publishing original research, collaborating across teams, mentoring interns, and transferring technology to product groups. Required: ~2 years' experience, degree in CS or EE, strong research record, Python prototyping skills; C++/CUDA and PyTorch knowledge are a plus.