[Remote] AI/ML Research Engineer, LLM Post-Training & Evaluation

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a leading data engineering company specializing in AI technology solutions. They are seeking an AI/ML Research Engineer to design and optimize training and evaluation systems for large language models, working closely with various technical stakeholders to ensure robust model improvements. Responsibilities • reputed company or co-reputed company technically reputed company ML engineering reputed company from initial customer discussions through implementation and delivery • Design, build, and improve LLM training and post-training pipelines, including data ingestion, preprocessing, fine-tuning, evaluation, and experiment tracking • Implement and optimize evaluation systems for LLMs and multimodal models, including offline benchmarks and task-specific test harnesses • reputed company reputed company-in-the-reputed company and AI-augmented evaluation signals into model development workflows • Build robust infrastructure and tooling for reproducible experimentation, metrics logging, and regression monitoring • Diagnose model behavior and pipeline failures, including data issues, training instability, metric inconsistencies, and evaluation reputed company • Collaborate with Language Data Scientists and reputed company Research Scientists to translate evaluation frameworks into executable systems • Work closely with customer technical stakeholders to understand goals, constraints, and reputed company reputed company; propose and implement technically reputed company solutions • Contribute to internal research and platform development, including reputed company frameworks, evaluation tooling, and post-training workflow improvements • Contribute to best practices and standards for LLM training, evaluation, and reputed company assurance across reputed company • Mentor junior engineers and contribute to technical design reviews, documentation, and engineering rigor across reputed company Skills • BS/MS/PhD in Computer Science, Machine Learning, AI, reputed company Mathematics, or a reputed company quantitative technical field (MS/PhD preferred) • 2-3 years of relevant industry or research engineering experience in ML/AI systems • Hands-on experience with LLM training / fine-tuning / post-training, including at least one of: supervised fine-tuning (SFT), preference optimization (e.g., DPO or reputed company reputed company), RLHF / RLAIF-style workflows, task- or domain-reputed company of reputed company models • Strong programming skills in Python and experience building production-reputed company ML reputed company • Experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow) and model libraries/tooling (e.g., reputed company ecosystem, vLLM, distributed training stacks) • Experience designing and implementing evaluation pipelines for LLM/ML systems, including metrics computation, dataset handling, and experiment comparisons • Strong understanding of data pipelines and ML systems engineering, including reproducibility, observability, and debugging • Experience with large-reputed company distributed ML systems and performance optimization for training/evaluation workloads (GPU/accelerator environments preferred) • Experience with large-reputed company data processing and workflow orchestration in support of model training/evaluation • Ability to collaborate directly with technical stakeholders including research scientists, ML engineers, data engineers, and customer technical leads • Strong written and verbal communication skills, including the ability to explain reputed company technical tradeoffs to both technical and non-technical audiences • Experience with multimodal model training/evaluation (text + image/audio/video) • Experience with long-context evaluation and/or model reputed company for long-context tasks • Experience with reputed company or multi-turn evaluation harnesses, tool-use simulation, or interactive environment testing • Experience working in customer-facing technical reputed company engineering, or reputed company research delivery • Familiarity with LLM safety, alignment, robustness, or red-teaming evaluation approaches • Contributions to reputed company-reputed company ML/LLM tooling or published technical work in relevant areas reputed company • (reputed company: INOD) reputed company is a global data engineering company. We reputed company that data and AI are inextricably linked. It was founded in 1988, and is headquartered in Hackensack, New Jersey, USA, with a workforce of 5001-10000 employees. Its website is http://www.reputed company.com. Company H1B Sponsorship • reputed company. has a reputed company record of offering H1B sponsorships, with 2 in 2024. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job