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# Principal ML with Deep Learning

- **Company:** Aptino, Inc.
- **Location:** Dallas, TX, United States
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Programming, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Safety, Reinforcement Learning, Pytorch, Large Language Models, Deep Learning, Model Validation, Generative AI, Transformer Architectures, Machine Learning Operations, Hardware Infrastructure
- **Published:** November 3, 2026
- **Apply:** https://www.dice.com/job-detail/16fb88f8-a481-4525-b795-a51135cda3f2

## About the Role

* PhD in Deep Learning, Machine Learning, AI, or a related field - Mandatory.
 * Strong research background in machine learning, deep learning, and neural networks.
 * Expertise in LLMs, Transformer architectures, and generative AI.
 * Experience with AI alignment, RLHF, DPO, reward modeling, or preference optimization.
 * Strong programming skills in Python and frameworks such as PyTorch or TensorFlow.
 * Experience with model training, fine-tuning, evaluation, and optimization.
 * Knowledge of AI safety, model robustness, interpretability, and responsible AI.
 * Experience with distributed training and large-scale ML systems is preferred.
 * Strong research publication record in relevant AI/ML conferences or journals is a plus.

Preferred Qualifications

 * Experience working on frontier AI models or advanced LLM research.
 * Publications in NeurIPS, ICML, ICLR, ACL, or similar conferences.
 * Experience with large-scale GPU infrastructure and distributed computing.
 * Experience developing alignment and safety evaluation frameworks., A research-oriented ML/AI expert with a mandatory PhD, strong hands-on deep learning experience, and proven expertise in LLM alignment, model evaluation, and large-scale ML systems.

## Description

We are seeking a Principal ML Systems & Alignment Engineer to lead the research, development, and deployment of advanced machine learning systems, with a focus on AI alignment, model behavior, safety, and reliability. The ideal candidate will have deep research expertise in ML/Deep Learning and hands-on experience building, evaluating, and aligning large-scale AI models., * Lead research and development of advanced ML and deep learning systems.

 * Design and implement AI alignment techniques to improve model behavior, reliability, and safety.
 * Work on LLM training, fine-tuning, optimization, and evaluation.
 * Apply techniques such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and preference modeling.
 * Develop model evaluation frameworks, benchmarks, and safety testing methodologies.
 * Investigate model robustness, hallucinations, bias, interpretability, and failure modes.
 * Optimize large-scale ML training and inference systems.
 * Collaborate with research scientists, ML engineers, and cross-functional teams.
 * Provide technical leadership and mentor engineering and research teams.