AI Engineer

🕒 October 8

🏄 California, Washington – Remote

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💵 $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.

📋 Description

• Develop, fine-tune, and deploy state-of-the-art NLP models using transformer architectures • Implement robust, production-quality code using PyTorch or TensorFlow • Design and build RESTful APIs with FastAPI, Flask, Django, or similar technologies • Collaborate with product managers, data scientists, and other stakeholders to gather requirements and deliver NLP solutions • Optimize model performance and scalability in production while ensuring reliability and efficiency • Monitor, troubleshoot, and enhance NLP models deployed in production • Stay current on advancements in NLP and machine learning and apply best practices

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field • Proven experience developing NLP models • Solid understanding of language modeling and transformer architectures • Proficiency in Python, Java, or C++ • Experience with PyTorch or TensorFlow • Familiarity with FastAPI, Flask, Django, or similar web frameworks • Understanding of Agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI • Strong analytical and problem-solving skills • Excellent communication skills • PhD in Computer Science or equivalent combination of education, training, and experience is helpful for standing out • Industry experience in Artificial Intelligence projects is helpful for standing out • Track record of publishing scientific papers in top conferences and journals is helpful for standing out • Experience with distributed training and low-rank adaptation • Experience with AWS, Azure, or GCP • Knowledge of Docker and Kubernetes • Familiarity with deep learning, computer vision, or reinforcement learning

🏖️ Benefits

• Comprehensive healthcare, dental & vision • 401k plan • PTO • Flexible benefits • Innovative environment • Inclusive workplace and diverse community • Global impact opportunities

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