Software Engineer – Intern null

About Thomson Reuters

Thomson Reuters is one of the world’s most trusted providers of answers, helping professionals make confident decisions and run better businesses. Their customers operate in complex arenas that move society forward—law, tax, compliance, government, and the media—and face increasing complexity as regulation and technology disrupt every industry. They are on a mission to help professionals advance their businesses and gain competitive advantages with the trusted answers only the company can provide.

Your role

In this opportunity as an Intern with a specialization in Machine Learning, 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 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 diverse and collaborative team-oriented environment, you will share information, value diverse ideas, and partner with cross-functional and remote teams.
• 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.

Your short-term tasks will be focused on:

• Familiarizing and adopting work methodology aligning with the existing engineering organization.
• Contributing to the delivery of key initiatives already in-flight within the labs engineering organization.

Training & development 

The company's approach to well-being is centred on the workplace environment and lifestyle practices. Employees have access to programs and resources that empower and inspire them to embrace a healthy lifestyle, address personal challenges, and manage their mental, physical, social, and financial well-being.

They have made mental health and healthy minds a central pillar of the employee experience, where everyone can speak openly and confidently about their well-being, feel supported, and be able to do their best work. By signing on to the Mindful Business Charter, Thomson Reuters joined a group of organizations committed to ensuring mindful business practices are embedded in the workplace.

Employee benefits

Listed below are some benefits:

• Global careers
• Flexibility
• Work that matters
• Tuition reimbursement
• Parental leave
• Social events and activities
• Health and wellness reimbursement
• 2 paid volunteer days
• Learning and development

Work-life balance

Work-life balance is rated at a 4.4/5.0 scale, (Source: Ambition Box), It has a good Inclusive work environment and provides the opportunity for all its employees, globally to work flexibly with work-from-home options if needed.

Culture & vibe

The diversity of companies' talents, ideas, and experiences is their true strength. That's why it fosters an inclusive workplace where all employees are valued and have the opportunity to reach their full potential.

To drive innovation and deliver competitive advantage, they embrace diversity of thought, style, experience, culture, race, colour, gender, national origin, religion, gender identity and expression, sexual orientation, disability, age, and marital status. citizen status and veteran status.

About you 

You’re a fit for the role of  Machine Learning Engineer – Intern if you:

• Can “think in code” and have a deep understanding of the Python software development stacks and ecosystems
• Have a fundamental understanding of the Software development Lifecycle and familiar with common tools used for the same
• Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
• Take pride in learning to write clean, reusable, maintainable and well-tested code.
• Demonstrate experience deploying cloud-native applications in AWS or Azure (or a similar cloud platform) – particularly those involving ML models.
• Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch, Huggingface.
• Have a desire to learn and embrace new and emerging technology.
• Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.

How to apply

This role is currently closed. If you are interested in this role, simply click "Pre-Register" and Prosple will inform you once this position opens again.