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Senior AI Research Engineer

SkyLabs AI Inc.Islamabad, Islamabad Capital Territory, Pakistan
On-site Full-time

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Experience Level

Senior

Qualifications

Key ResponsibilitiesLead a team of AI Engineers/ResearchersTrain and iterate on LLMs end-to-end across DAPT/CPT, SFT, and RL-based post-training techniques including preference optimization, reward modeling, verifiable rewards, and policy optimization. Design effective training methodologies: tokenization strategies, curriculum/sampling, batch/sequence packing, optimizer + scheduler selections, stability techniques, and hyperparameter tuning. Architect and implement efficient training systems leveraging distributed training methodologies (data/tensor/pipeline parallelism), FSDP/ZeRO, activation checkpointing, mixed precision, and throughput optimization. Develop and maintain LLM data pipelines: encompassing large-scale data ingestion, filtering, deduplication, contamination checks, domain balancing, safety filtering, and dataset versioning. Conduct in-depth exploratory data analysis (EDA) and root-cause analysis for training and evaluation regressions, implementing effective mitigations. Establish evaluation and benchmarking frameworks: including offline metrics, human preference pipelines, automated evaluations, domain-specific test sets, adversarial probing, and long-term model behavior tracking.

About the job

About Us

SkyLabs AI Inc. is a pioneering force in the artificial intelligence sector, based in the United States. Our mission revolves around advancing AI for intelligent reasoning, with a specialization in complex neurosymbolic AI to tackle sophisticated software engineering challenges. Our elite team comprises top-tier researchers and engineers who are committed to developing the platforms and intelligent agents that will revolutionize future software solutions. If you're driven by the prospect of creating truly intelligent systems and making a significant impact, we invite you to be a part of our journey.

The Role

We are in search of an outstanding Senior AI Research Engineer dedicated to training and enhancing Large Language Models (LLMs) throughout their entire lifecycle. This includes Domain-Adaptive Pretraining, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL/RLVR), and sophisticated post-training techniques such as reward modeling, preference optimization, and RL-VR workflows. In this role, you will spearhead hands-on training initiatives, provide direction for research, and construct robust data, training, evaluation, and deployment pipelines.

You should possess a profound understanding of LLM internals, covering aspects like attention/MLP dynamics, normalization, optimization behavior, and scaling laws, along with familiarity with cutting-edge architectures such as Mixture of Experts (MoE) and other innovative design choices. Collaborating closely with product and platform teams, you will translate research insights into high-performance systems.

About SkyLabs AI Inc.

SkyLabs AI Inc. is at the cutting edge of the AI revolution, focusing on applied research to drive intelligent reasoning in complex software problems. Our innovative approach combines advanced neurosymbolic AI techniques with a strong emphasis on practical application, positioning us as leaders in the field.

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