Senior Applied Research Engineer, ML

Role Overview: As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. You will be involved in developing and delivering high-quality solutions using modern software development practices. Additionally, you will create scalable machine learning solutions, work in a collaborative team-oriented environment, and be an agile person who embraces innovation and effective communication. Key Responsibilities: - Develop and Deliver: Apply modern software development practices throughout the software development lifecycle to build, test, and deliver high-quality solutions. - Build Scalable ML Solutions: Create large scale data processing pipelines to help researchers build and train novel machine learning algorithms, developing high-performing scalable systems in large online delivery environments. - Be a Team Player: Share information, value diverse ideas, and partner with cross-functional and remote teams in a collaborative environment. - Be Agile: Deliver timely solutions with a strong sense of urgency in a fast-paced, dynamic environment. - Be Innovative: Contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries by trying new approaches and learning new technologies. - Be an Effective Communicator: Articulate ideas and collaborate on technical developments through dynamic engagement and communication with cross-functional partners and team members. Qualifications Required: - Bachelor of Science degree in computer science or a related field - At least 5 years of software engineering experience, ideally in machine learning and natural language processing - Deep understanding of Python software development stacks and ecosystems, with experience in other programming languages being ideal - Ability to apply, integrate, and deploy Machine Learning capabilities and techniques - Familiarity with Python data science stack including libraries like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn - Proficiency in writing clean, reusable, maintainable, and well-tested code - Desire to learn and embrace new and emerging technology - Experience with probabilistic models and understanding of mathematical concepts underlying machine learning methods - Integration of Machine Learning solutions into production-grade software, understanding of ModelOps and MLOps principles - Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure - Exposure to Natural Language Processing (NLP) problems and key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval - Ability to understand and translate between language and methodologies used in research and engineering fields - Hands-on experience in other programming and scripting languages like Java, TypeScript, JavaScript, etc. (Note: Additional details about the company were not explicitly mentioned in the provided job description.) Role Overview: As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. You will be involved in developing and delivering high-quality solutions using modern software development practices. Additionally, you will create scalable machine learning solutions, work in a collaborative team-oriented environment, and be an agile person who embraces innovation and effective communication. Key Responsibilities: - Develop and Deliver: Apply modern software development practices throughout the software development lifecycle to build, test, and deliver high-quality solutions. - Build Scalable ML Solutions: Create large scale data processing pipelines to help researchers build and train novel machine learning algorithms, developing high-performing scalable systems in large online delivery environments. - Be a Team Player: Share information, value diverse ideas, and partner with cross-functional and remote teams in a collaborative environment. - Be Agile: Deliver timely solutions with a strong sense of urgency in a fast-paced, dynamic environment. - Be Innovative: Contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries by trying new approaches and learning new technologies. - Be an Effective Communicator: Articulate ideas and collaborate on technical developments through dynamic engagement and communication with cross-functional partners and team members. Qualifications Required: - Bachelor of Science degree in computer science or a related field - At least 5 years of software engineering experience, ideally in machine learning and natural language processing - Deep understanding of Python software development stacks and ecosystems, with experience in other programming languages being ideal - Ability to apply, integrate, and deploy Machine Learning capabilities and techniques - Familiarity with Python data science stack including libraries like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sciki