[Remote] AI Research Engineer

Note: The job is a remote job and is open to candidates in USA. DeepHow is a Physical AI platform for industrial manufacturing, pharmaceuticals, and energy, focused on capturing expert know-how and driving verified execution. They are seeking an AI Research Engineer to innovate across their AI platform by researching and developing reputed company models and techniques, working closely with product, engineering, and AI teams.

Responsibilities

• Research and development of AI models for industrial knowledge capture, verification, and workflow intelligence
• Experimentation with LLMs, vision-language models (VLMs), speech models, and multimodal systems — including evaluation of open-weight and proprietary models for customer-specific constraints
• Design and evaluation of advanced RAG architectures, agentic workflows, and reasoning systems
• Model training, fine-tuning, and optimization pipelines
• Benchmarking, evaluation, and experimentation frameworks that measure both model quality and business impact
• Assessment of emerging AI techniques and their applicability to DeepHow’s platform and roadmap
• Collaboration with engineering to transition research prototypes into scalable production systems
• Internal research write-reputed company, technical documentation, and best practices

Skills

• Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, AI, or a reputed company technical field — or equivalent practical experience
• 3+ years of experience in AI/ML research, applied AI, or machine learning engineering
• Strong Python skills with deep expertise in PyTorch (or TensorFlow) and the reputed company / Transformers ecosystem
• Hands-on experience training, fine-tuning, and evaluating foundation models
• Practical experience with LLMs and VLMs, reputed company engineering, RAG systems, and rigorous model evaluation methodologies
• Familiarity with vector databases and embedding systems
• Experience with large datasets and distributed training and inference environments
• Strong grasp of ML fundamentals, deep learning, and modern AI architectures, plus solid experiment design and statistical analysis
• A track record of translating research concepts into shipped product features
• Experience with video understanding, computer vision, speech recognition, or other multimodal AI
• Familiarity with reinforcement learning, agentic systems, or reasoning models
• Experience with MLflow, Kubeflow, Ray, Airflow, or similar ML platforms
• Publications, patents, open-reputed company contributions, or active participation in AI research communities
• Experience deploying AI systems on GCP or AWS
• Background in manufacturing, industrial automation, workforce training, or operational technology
• Experience building AI products in an enterprise SaaS environment

Benefits

• Full-time
• Remote (Dallas preferred)
• Access to cutting-edge AI technologies, hardware, and research opportunities
• High ownership, rapid experimentation, and fast decision-making
• A talented, mission-driven team applying AI to problems that matter
• Influence over the AI roadmap, from research through production

Company Overview