Jobs at Centific

Analyze product telemetry, user signals, performance, behavior, feature adoption, and product metrics. Develop recurring reports, dashboards, and visualizations, investigate issues and trends, and provide insights supporting product initiatives and rapid iteration. Collaborate with Product Managers, Applied Scientists, Engineers, and stakeholders across China and the United States.

Develop and maintain Azure CLI features in Python or Azure PowerShell modules in C#. Responsibilities include writing scalable, documented code, participating in code reviews, collaborating with global engineering teams, contributing to open-source projects, and supporting CI/CD workflows. The role focuses on cloud platform tooling, infrastructure automation, engineering quality, performance, troubleshooting, and developer tool development.

Develop, fine-tune, deploy, monitor, and optimize NLP and large language models using transformer architectures. Build production-ready model applications and REST APIs, collaborate with product and data science teams, and improve reliability and scalability. The role involves applying frameworks such as PyTorch or TensorFlow, exploring agentic AI technologies, and deploying solutions with modern cloud and containerization tools.

The Strategic Account Executive will grow market share in Generative AI, build relationships, manage sales processes, and drive revenue generation by coordinating with teams and satisfying client needs.

Own end-to-end delivery of multilingual AI programs, managing enterprise client relationships, cross-functional global teams, vendors, risks, dependencies, and program reporting. Standardize processes, support language-data and localization workstreams, identify account expansion opportunities, mentor delivery teams, and ensure measurable business outcomes through effective financial and resource planning.

The Senior Staff Research Scientist will architect Centific's Agentic AI and RL platform, driving impact via research, engineering, and product collaborations. This role involves defining technical direction, mentoring peers, and ensuring high-quality outcomes in AI products.

Develop automated test-data visualization tools and scripts using Python, HTML, JavaScript, and CSS. Analyze validation results, identify anomalies, debug automation frameworks, and create scalable quantitative reports. Collaborate cross-functionally on requirements, validation automation, and new product introduction. Maintain documentation and eventually transition into developing automated data pipelines and dashboards as a Data Scientist.

Execute functional, performance, and reliability testing for VR hardware systems in a hands-on laboratory environment. Manage testing materials and instruments, communicate testing progress, identify and document hardware and system-level defects, track issues in Jira, and verify fixes. Use current probes, thermal measurement tools, basic Python, and ADB commands while maintaining strict confidentiality around unreleased products.

The Recruiter will lead recruitment efforts, attract top talent, assess candidate fit, manage offers, and collaborate with stakeholders for optimal recruitment delivery.

Designs and maintains large-scale distributed systems on Azure using C# and .NET. Owns backend services, APIs, data access, cloud infrastructure, CI/CD, and operational support. Drives architecture and technical strategy, resolves systemic production issues, collaborates with business stakeholders, and mentors engineers. The role requires extensive experience with Azure, production backend systems, complex codebases, distributed systems, and regulated or domain-heavy industries, with preferred healthcare and life sciences expertise.

Annotates and curates Italian-language data to support the development of high-quality AI datasets and scalable generative AI solutions. The role contributes to multilingual data preparation for large language models and related AI applications.

Reviews and annotates image and video content using labels, bounding boxes, tracking IDs, event tags, and classifications. Edits and synchronizes captions, checking language accuracy, punctuation, grammar, and speaker attribution. Escalates ambiguous content, incorporates quality-assurance feedback, meets productivity and accuracy targets, attends training, and reports progress or issues to the team lead.

Reviews and annotates image and video content using labels, bounding boxes, tracking IDs, event tags, and classifications. Edits and synchronizes captions, ensuring accurate spelling, grammar, punctuation, and speaker attribution. Follows project guidelines, meets quality and productivity targets, escalates ambiguous content, incorporates QA feedback, attends training, and reports progress or issues to the Team Lead.

Reviews and annotates image and video content using labeling schemas, including bounding boxes, tracking IDs, event tags, classifications, and synchronized captions. Checks caption accuracy, grammar, punctuation, and speaker attribution; flags ambiguous content; incorporates QA feedback; meets productivity and quality targets; attends training; and reports progress and issues to the Team Lead. The role is on-site in the One North Area and requires comfort working with varied or sensitive video content.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions while checking language accuracy, speaker attribution, and formatting. Escalates ambiguous content, incorporates QA feedback, meets productivity and quality targets, attends training, and reports progress and issues to the Team Lead.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions, checks language accuracy and speaker attribution, escalates ambiguous content, incorporates quality feedback, meets productivity and accuracy targets, attends training, and reports progress and issues to the Team Lead.

Reviews and annotates image and video content using labeling schemas, bounding boxes, tracking IDs, event tags, and classification labels. Edits and synchronizes captions, correcting language, punctuation, timing, and speaker attribution. Escalates ambiguous content, incorporates quality feedback, meets productivity and accuracy targets, attends training, and reports progress or issues to the Team Lead.

Conduct research and engineering across computer vision, vision-language models, 3D perception, and physical AI. Build and fine-tune perception and multimodal models, develop perception-to-action policies, curate datasets, design evaluations, run rigorous experiments, and deploy reproducible services using modern AI infrastructure. The role translates published research into prototypes and production-ready modules for robotics, simulation, video understanding, and embodied intelligence.

Build, fine-tune, evaluate, and deploy production AI systems spanning vision, multimodal, generative, agentic, simulation, and robotics applications. Develop data and inference pipelines, optimize GPU workloads, monitor model performance, and improve robustness and safety. Collaborate with researchers, engineers, and customers to translate business needs into scalable AI solutions using NVIDIA, cloud, and MLOps technologies.

Lead frontier research in vision AI, multimodal foundation models, simulation-first learning, agentic AI, robotics, and embodied intelligence. Design architectures, training methods, benchmarks, and evaluation frameworks; guide large-scale distributed model development and sim2real integration. Lead researchers, engineers, and interns while mentoring talent, publishing research, developing technical IP, and advancing deployable systems for robotics, autonomous driving, and physical AI.