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Do you love creating innovative solutions for customers? We are currently seeking a passionate Senior Software Engineer with experience in Machine Learning techniques and interested at building data-driven capabilities that drive transformation as a member of Thomson Reuters Labs in Zug. In this role, you will have significant and direct impact on our company in helping to create new information products which customers will use.
What do we do? We experiment, build and deliver. We work with big data sets to discover what new products, services, or analysis we can create for our customers. Thomson Reuters is most famous for the Reuters News agency. The company is also one of the leading sources of information for legal professionals, corporates and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news and tax data.
Thomson Reuters Labs work across all business segments of Thomson Reuters. You will be part of a diverse, agile and interdisciplinary innovation team located in Zug, collaborating with colleagues located in UK, Canada, US, India and Poland. You will work closely with other engineers, designers, data scientists and stakeholders to innovate and code custom applications, data visualizations and interfaces. Incorporating UX and Design Thinking principles with agile methodology, you will produce production grade software that we can validate with customers.
We are looking for an adaptable learner looking forward to a continuous evolution of skills; someone who regularly gets into subjects over their head; who is comfortable with ambiguity and can creatively redirect when reaching dead ends.
Is this you? Come join us.
About the Role
In this opportunity as a Senior Software Engineer 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, 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.
You’re a fit for the role of Senior Software Engineer - Machine Learning if you:
Have at least 5 years software engineering experience, ideally in the context of machine learning and natural language processing
Are skilled and have a deep understanding of Python software development stacks and ecosystems, ideally also experience with other programming languages and ecosystems.
Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn
Take pride in writing clean, reusable, maintainable and well-tested code
Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
Have a desire to learn and embrace new and emerging technology
Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods
Have a Bachelor's Degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.
For this role, we also strongly value if you:
Had 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.
Can understand and translate between language and methodologies used both in research and engineering fields
Have been successfully taking and integrating Machine Learning solutions to production-grade software
What’s in it For You
At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:
Benefits: Hybrid work environment (in-office & home), contribution to health insurance and free use of in-house gym, employee stock purchase plan.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Perks: Social events & activities, above average contributions to pension fund
Get a 360° view of Thomson Reuters: Our Enterprise Centre in Zug is a microcosm of the entire corporation, giving employees who work here:
Accelerated growth in cross-business knowledge
A rich internal network, including senior leadership representing all customer segments and functions
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on thomsonreuters.com.
Backup child care
Unconscious bias training
Thomson Reuters is a leading provider of business information services. Our products include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news service – Reuters.