Senior Research Engineer

TN Switzerland; Zug; Hybrid; CHF 90’000 - 150’000; Vollzeit

Zusammenfassung

An established industry player is seeking a Senior Research Engineer to innovate and deliver scalable machine learning solutions. This role involves developing high-quality software, building data processing pipelines, and collaborating with diverse teams in a dynamic, agile environment. The company promotes a culture of inclusivity and professional growth, offering a hybrid work model and comprehensive benefits. Join a team dedicated to pursuing justice, truth, and transparency, and help shape the future of knowledge professionals in a supportive and flexible workplace.

Leistungen

Flexible Hybrid Work Model

Comprehensive Benefit Plans

Mental Health Days Off

Workation Opportunities

LinkedIn Learning Access

Employee Incentive Programs

Paid Volunteer Days

Qualifikationen

• 5+ years of software engineering experience, ideally in ML and NLP.
• Deep understanding of Python and its data science stack.

Aufgaben

• Develop scalable ML solutions and data processing pipelines.
• Collaborate in a team-oriented environment and deliver timely solutions.

Kenntnisse

Python

Machine Learning

Natural Language Processing

Agile Methodologies

Data Science Libraries (Numpy, Pandas, etc.)

Clean Code Practices

Cloud Computing (AWS/Azure)

Ausbildung

Bachelor's Degree in Computer Science or Related Field

Tools

AWS

Azure

Dask

spaCy

NLTK

scikit-learn

Jobbeschreibung

In this opportunity as a Senior Research Engineer, you will:

1. 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.
2. Build 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.
3. Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, and partner with cross-functional and remote teams.
4. 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.
5. 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.
6. 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.

About You:

You are a fit for the Senior Research Engineer if your background includes:

Essential skills & experience:

1. A Bachelors Degree in Computer Science or Related Field
2. At least 5 years software engineering experience, ideally in the context of machine learning and natural language processing
3. Skilled and have a deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
4. Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
5. Familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn
6. Take pride in writing clean, reusable, maintainable and well-tested code
7. Desire to learn and embrace new and emerging technology
8. Familiar with probabilistic models and understanding of the mathematical concepts underlying machine learning methods
9. Familiarity with Agile Methodologies.

Preferred skills & experience:

1. Experience integrating Machine Learning solutions into production-grade software and understanding of ModelOps and MLOps principles
2. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
3. Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
4. Can understand and translate between language and methodologies used both in research and engineering fields
5. Have successfully taken and integrated Machine Learning solutions to production-grade software
6. Exposure to cloud computing development (AWS/Azure).

What’s in it for you?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

1. Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
2. Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
3. Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
4. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
5. Social Impact: Nine employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
6. Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency.

Do you want to be part of a team helping re-invent the way knowledge professionals work? At Thomson Reuters, we’ve been doing just that for almost 160 years. 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.

Accessibility

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.