Lead Research Engineer
About the role
In this opportunity as a Lead Research Engineer, you will:
- Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack by establishing standards and best practices that scale.
- Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
- Create Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel 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 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 timely solutions.
- 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 dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
Responsibilities
Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack by establishing standards and best practices that scale.
Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.
Create Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel 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 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 timely solutions.
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 dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
Requirements
A Bachelor of Science degree, computer science or related field.
At least 8 years software engineering experience, ideally in the context of machine learning and natural language processing.
Experience leading technical workstreams within a software engineering organization.
Skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.
Driving innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environments.
Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch.
Take pride in writing clean, reusable, maintainable and well-tested code.
Experience in collaborating with research scientists to evaluate, prototype and productionize research concepts.
Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.
A desire to learn and embrace new and emerging technology.
Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.
Demonstrated ability to mentor engineers, elevate team technical practise.
Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields.
Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
Qualifications
A Bachelor of Science degree, computer science or related field.
At least 8 years software engineering experience, ideally in the context of machine learning and natural language processing.
Experience leading technical workstreams within a software engineering organization.
Skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.
Driving innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environments.
Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch.
Take pride in writing clean, reusable, maintainable and well-tested code.
Experience in collaborating with research scientists to evaluate, prototype and productionize research concepts.
Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.
A desire to learn and embrace new and emerging technology.
Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.
Demonstrated ability to mentor engineers, elevate team technical practise.
Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields.
Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
Skills
Python software development stacks and ecosystems.
Experience with other programming languages and ecosystems.
Modern software development practices.
Large scale data processing pipelines.
High performing scalable systems.
Collaboration with research scientists.
Automation, system monitoring, and cloud-native applications.
System analysis and design.
DevOps and automation.
Probabilistic models.
Machine Learning systems and capabilities in production environments.
Integration of Machine Learning solutions into production-grade software.
ModelOps and MLOps principles.
Key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
Other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
Benefits
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Use of AI within the recruitment process: Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review.