ChatGPT Jobs · 7 hours ago
ML/AI Research Engineer
Beaverton, OR
Full-time
Onsite
Lead/Staff
$200K/yr - $500K/yrAudiience is transforming how content is created and trusted in publishing, delivering technology that is accurate, scalable, and creative. They are seeking a Principal AI/ML Engineer to design and implement advanced machine learning systems, spearhead AI innovation, and lead research and technical collaboration efforts.
Computer Software
Responsibilities
Advanced AI/ML Development & Research
Design, implement, and deploy cutting-edge machine learning systems that perform previously impossible tasks or achieve unprecedented performance levels
Spearhead AI innovation including deep learning, NLP, large language models (LLMs), reinforcement learning, anomaly detection, and optimization algorithms
Build and optimize training frameworks for PyTorch, TensorFlow, or similar, focusing on GPU efficiency and scalable data pipelines
Develop sophisticated classification systems across structured and unstructured datasets using state-of-the-art ML algorithms
Experiment with and implement novel neural network architectures, attention mechanisms, and self-organizing systems
Architect high-capacity, resilient systems capable of handling billions of transactions with real-time data insights
Design and maintain ML infrastructure, data pipelines, and production deployment systems at scale
Implement bug-free machine learning code with strong foundations in data structures, algorithms, and software engineering principles
Build distributed machine learning systems and optimize for performance at supercomputing scale
Integrate AI systems with modern cloud infrastructure (AWS, Azure) and containerization technologies
Transform research breakthroughs into production-ready solutions that drive real-world impact
Write comprehensive white papers and technical documentation that advance the field
Stay ahead of emerging trends in AI, experimenting with cutting-edge techniques and research papers
Balance research goals with practical engineering constraints
Provide expert mentorship to engineering teams, enhancing technical skills and optimizing system architectures
Work cross-functionally with researchers, engineers, and product teams to solve complex challenges
Lead by example through code reviews, knowledge sharing, and maintaining high engineering standards
Build tools to accelerate team workflows and improve developer experience
Qualification
Required
Deep expertise in PyTorch, TensorFlow, or equivalent frameworks
Mastery of deep learning, transformers, and modern LLMs (GPT, Claude, etc.)
Natural Language Processing (NLP) including embeddings, tokenization, and language model training
Experience with Retrieval-Augmented Generation (RAG), prompt engineering, and model fine-tuning
Understanding of reinforcement learning, anomaly detection, and optimization algorithms
Proficiency with ML tools: Scikit-Learn, NumPy, Pandas, Dask, Hugging Face, LangChain
Strong proficiency in Python, with additional experience in Java, TypeScript, C++, or C#
Proven ability to build massive-scale distributed ML systems
Experience with data pipelines, ETL/ELT, and real-time streaming data
Strong foundation in algorithms, data structures, and system design
Understanding of API design, microservices architecture, and integration patterns
Experience with cloud platforms (AWS, Azure, GCP)
Containerization (Docker), orchestration, and CI/CD pipelines
Familiarity with GPU optimization, CUDA, and high-performance computing
Knowledge of DevSecOps practices and security principles
Built and deployed AI systems that handle significant scale (millions/billions of transactions)
Created production ML systems that deliver measurable business impact
Contributed to or led innovative R&D projects with tangible outcomes
Experience with AI integration in real-world applications and production environments
History of continuous learning and adapting to emerging technologies
Problem-solving prowess
Tenacious learner
Systems thinker
Results-oriented
Collaborative by nature
Communication excellence
Preferred
Master's or PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
Published research papers or patents in AI/ML
Experience in content creation, publishing, NLP for content analysis, or trust & safety applications
Previous startup or early-stage engineering experience
Contributions to open-source ML projects
Background in product ownership or cross-functional project leadership
Company
ChatGPT Jobs
We find the best job offers for experts in ChatGPT and related technologies.
Founded in 2024
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase