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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI / Machine Learning Engineer - **Company:** ABSENTIA LABS INC. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $115,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Artificial Neural Networks, Big Data, Software Debugging, Distributed Computing Environment, Machine Learning, Open Source Technology, Performance Tuning, Tensorflow, Systems Architecture, Reinforcement Learning, Pytorch, Transfer Learning, Large Language Models, Deep Learning, Model Validation, Machine Learning Operations, Data Pipelines - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0054d60dabe2956d ## About the Role Do you have experience in System architecture design?, You are a senior ML engineer who thinks holistically about models as systems. You are comfortable operating under uncertainty, making trade-offs between compute, data, and performance, and owning outcomes from research through production. You care deeply about training dynamics, failure modes, and scaling behavior, and you have the scars to prove it. You Likely Have * 5+ years of industry experience in machine learning or applied AI roles. * Demonstrated experience training large-scale models in production settings, not just prototypes. * Hands-on expertise with LLMs, diffusion models, and/or GNNs. * Strong proficiency in PyTorch (or equivalent deep learning frameworks). * Deep understanding of distributed training, including parallelism strategies and performance optimization. * Experience working with large datasets and high-throughput data pipelines. * Strong software engineering fundamentals: clean code, testing, reproducibility, and debugging at scale. * Ability to clearly communicate technical trade-offs to both technical and non-technical stakeholders., * Experience with reinforcement learning, fine-tuning, or preference-based optimization (e.g., RLHF). * Familiarity with model compression, distillation, or inference optimization. * Experience deploying models in production inference systems. * Exposure to multimodal learning or foundation models. * Prior work in startups or fast-moving R&D environments. * Contributions to open-source ML frameworks or research codebases. Note: Prior experience with molecular or biomedical models is not required. We value strong ML systems experience and the ability to transfer learning across domains. ## Description As a Senior AI/ML Engineer, you will lead the design, training, and deployment of large-scale machine learning models that form the core of Absentia Labs' AI capabilities. You will work at the boundary between model architecture, training systems, and production infrastructure, with significant ownership over technical direction. This role is intended for engineers who have trained large models in real production environments, understand the realities of scale, and can reason about both learning dynamics and systems constraints. What You'll Do * Design, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs). * Own end-to-end training pipelines, from dataset interfaces and batching strategies to distributed training and checkpointing. * Make principled decisions about model architecture, objective functions, optimization strategies, and scaling laws. * Build and optimize distributed training systems (data parallelism, model parallelism, sharding, mixed precision). * Collaborate closely with data engineers to define ML-ready datasets and streaming interfaces. * Translate ambiguous scientific or product requirements into robust ML solutions. * Drive model evaluation, ablation, and iteration with a focus on generalization, stability, and reproducibility. * Contribute to architectural decisions around model serving, inference efficiency, and lifecycle management. * Provide technical leadership through design reviews, mentorship, and cross-team collaboration. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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