Total 3 process development engineer job vacancies in Education / Training category in D02 Anson, Tanjong Pagar

We are seeking a highly motivated candidate who has strong experience in auditing IFRS financial statements, as well as a passion for learning and knowledge, to join us as Learning and Development Manager for the Audit and Assurance division. You will play a pivotal role in enhancing the skills, knowledge, and performance of our employees primarily in the Audit & Assurance businesses, ensuring the continuous development and success of our workforce.

Responsibilities

• Work closely with key stakeholders on training needs to drive continuous improvements to the existing learning ecosystem.
• Design, develop and implement training and development programs that are aligned with the Firm’s strategy and address skill gaps within the workforce.
• Design, develop and deliver trainings related to financial reporting and audit methodology to the Audit and Assurance professional practice.
• Manage and monitor the deployment of training courses, including onboarding trainings for new employees.
• Ensure that the training programs and talent management practices comply with relevant regulations and standards.
• Prepare information required for external and in-house monitoring / compliance checks on training-related matters.
• Identification of training needs through participation in the Firm’s internal quality review processes.
• Provide coaching to Learning & Development support staff.

The successful candidate should have the following required skills and experience:

• Spent at least 6 years of experience in a Big 4 or mid-tier auditing firm, performing statutory and non-statutory audits of financial statements under International Financial Reporting Standards and International Standards of Auditing.
• Degree or equivalent qualification in Accounting and Finance.
• Experience in content development and delivery of Audit and Assurance trainings with excellent presentation/facilitation skills and ability.

Other preferred skills and experience:

• Proficiency in Microsoft Office.
• Familiarity with virtual delivery platforms including Microsoft Teams and Zoom.  
• Familiarity with learning management platforms such as Talent LMS.
• Familiarity with e-learn editing software such as Articulate360.
• Meticulous with strong organisation and administration skills.

About Fragment Works and Moment AI

FRAGMENT WORKS PTE. LTD. is a Singapore-incorporated technology company operating the Moment AI platform at https://momentvideo.ai/.

Moment AI is a leading VC-backed video AI foundation model company developing advanced video AI technologies and business-to-business infrastructure for enterprise customers. The company focuses on building scalable, production-grade video AI systems that support real-world commercial applications across video generation, video understanding, model deployment, and model-sales operations.

Through API-based capabilities, Moment AI serves companies in the short-video, creator economy, advertising, media, and AI application sectors. Its platform is designed to help enterprises integrate video AI into their products and workflows efficiently, enabling automated content creation, intelligent video analysis, and next-generation AI-powered media experiences.

Moment AI is founded by a team of video industry veterans with deep operational and technical experience in scaling short-video platforms to millions of users. The founding team brings together battle-tested entrepreneurs, infrastructure builders, and AI researchers with hands-on experience across video platforms, creator ecosystems, high-concurrency video infrastructure, and multimodal AI.

About the Role

We are building our own foundation model for video generation, based on DiT and Flow Matching architectures. We are looking for a Training Infrastructure Engineer who can turn cutting-edge research code into a stable, scalable, and high-throughput training system running on large-scale GPU clusters.

This role is ideal for an engineer who enjoys solving deep systems problems at the intersection of distributed training, CUDA performance, video data pipelines, model training stability, and large-scale ML infrastructure. You will work closely with researchers and platform engineers to ensure that our video generation training stack can reliably produce results at the thousand-GPU scale.

Key Responsibilities

• You will design, optimise, and maintain large-scale distributed training systems for video generation foundation models. This includes implementing and improving training strategies such as FSDP, tensor parallelism, context parallelism, and Ulysses-style sequence parallelism, with a strong focus on improving throughput, scaling efficiency, and MFU.
• You will build and optimise PB-scale video data pipelines, including NVDEC-based video decoding, VAE latent caching, variable-resolution bucket sampling, and efficient data loading for high-throughput model training.
• You will work on memory and performance optimisation across the training stack, including FlashAttention,FP8 mixed precision, Triton kernels, CUDA-aware profiling, activation check pointing strategies, and communication-computation overlap.
• You will also be responsible for training stability and reliability. This includes identifying the root causes of loss spikes, divergence, slow nodes, communication bottlenecks, check point failures, and data-related instability, as well as designing mechanisms for fast checkpoint recovery and automatic exclusion of problematic nodes.

Requirements

• The ideal candidate has strong hands-on experience with PyTorch distributed training and a solid understanding of CUDA architecture, GPU memory hierarchy, NCCL communication, and performance profiling.
• You should have source-level familiarity with at least one major large-scale training framework, such as Megatron-LM, DeepSpeed, PyTorch FSDP, or TorchTitan, and be comfortable reading, modifying, and debugging framework internals.
• You should have at least one year of practical experience training models on large GPU clusters of 256 GPUs or more, with proven experience in debugging distributed training failures and improving system-level training efficiency.
• Strong candidates will be able to reason across the full training stack, from data ingestion and model parallelism to kernel-level optimisation and fault-tolerant training operations.

Preferred Qualifications

• Experience with DiT, diffusion models, Flow Matching, or video generation models would be highly advantageous.
• Experience processing large-scale video datasets, building video decoding pipelines, or working with VAE latent caching systems would be a strong plus.
• Hands-on experience writing or optimising Triton, CUDA, or CUTLASS kernels would be valuable.
• Familiarity with open-source video generation projects such as HunyuanVideo, Wan, CogVideoX, or similar systems at source-code level would also be beneficial.

What We Offer

You will work with real large-scale compute resources, including access to thousand-GPU-level training infrastructure. You will join a team that treats large-scale model training as a rigorous engineering discipline, not just a research experiment.

We provide an environment where engineers can work on technically meaningful infrastructure problems, collaborate closely with frontier model researchers, and contribute to open-source or publication work where appropriate and within applicable compliance boundaries.

Employment Practices

We are committed to fair and merit-based hiring. All candidates will be assessed based on job-related skills, experience, and ability to perform the role. We welcome applications from qualified candidates and do not discriminate on the basis of age, race, gender, religion, marital status, family responsibilities, disability, or other non-job-related characteristics.

We are seeking a highly motivated candidatewho has strong experience in auditing IFRS financial statements, as well as apassion for learning and knowledge, to join us as Learning and DevelopmentManager for the Audit and Assurance division.  You will play a pivotalrole in enhancing the skills, knowledge, and performance of our employeesprimarily in the Audit & Assurance businesses, ensuring the continuousdevelopment and success of our workforce.

Responsibilities

• Work closely with key stakeholders on training needs to drive continuous improvements to the existing learning ecosystem.
• Design, develop and implement training and development programs that are aligned with the Firm’s strategy and address skill gaps within the workforce.
• Design, develop and deliver trainings related to financial reporting and audit methodology to the Audit and Assurance professional practice.
• Manage and monitor the deployment of training courses, including onboarding trainings for new employees.
• Ensure that the training programs and talent management practices comply with relevant regulations and standards.
• Prepare information required for external and in-house monitoring / compliance checks on training-related matters.
• Identification of training needs through participation in the Firm’s internal quality review processes.
• Provide coaching to Learning & Development support staff.

The successful candidate should have thefollowing skills and experience:

• Degree or equivalent qualification in Accounting and Finance,
• Strong audit and accounting background supported by at least 6 years of experience in conducting audits of financial statements.
• Experience in content development and delivery of Audit and Assurance trainings with excellent presentation/facilitation skills and ability.
• Proficient in Microsoft Office, and familiar with virtual delivery platforms including Microsoft Teams and Zoom.  Prior experience with learning management systems is preferred.
• Meticulous with strong organisation and administration skills.