Sr Applied Research Engineer

Key Skills

Agile methodologies, AWS, Azure, Cloud computing, Machine learning techniques, Natural Language Processing (NLP), NER tags, NumPy, Pandas, Python Programming, Scikit-learn, SciPy

Job Description

Senior Applied Research Engineer

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking engineers with a passion for solving problems using state-of-the-art information retrieval, machine learning, natural language processing, and data-driven capabilities.

What does Thomson Reuters Labs do? We experiment, we build, and deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As a research engineer in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as engineering and design, to drive the company’s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

About the Role

As a Senior Applied Research Engineer, you will:

• Develop and Deliver: Applying modern development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.

• Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments.

• Be a Team Player: Working in a diverse and collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams

• Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.

• Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.

• Be an Effective Communicator: Through active engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

About You

Basic qualifications:

• Bachelor's (or equivalent) degree in computer science, computer/software engineering, or related technical field

• 5+ years of professional software development experience, ideally in the context of machine learning and natural language processing

• Skilled in Python 3.x, familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn

• Can understand, apply, integrate, and deploy machine learning capabilities and techniques into other systems. 

Preferred qualifications:

• Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

• Practical experience deploying machine learning solutions.

• Experience in a fast-paced, agile environments managing uncertainty and ambiguity.

• Proficient in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)