Lead Research Engineer

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

Zusammenfassung

An established industry player seeks a Lead Research Engineer to drive innovative machine learning solutions. In this role, you will lead technical teams, develop scalable systems, and collaborate with diverse teams to create high-quality software. You will have the opportunity to work in a hybrid environment that values personal and professional growth, offering comprehensive benefits and a commitment to diversity and inclusion. If you are passionate about technology and want to contribute to a purpose-driven mission, this role is perfect for you.

Leistungen

Flexible working environment

Comprehensive benefit plans

Mental Health Days Off

Tuition reimbursement

Employee incentive programs

LinkedIn Learning access

Networking opportunities

Paid volunteer days

Qualifikationen

• 8+ years of software engineering experience in machine learning.
• Strong understanding of Python and data science libraries.

Aufgaben

• Lead technical teams to develop scalable ML solutions.
• Collaborate with cross-functional teams to deliver high-quality software.

Kenntnisse

Python

Machine Learning

Natural Language Processing

Software Development

Automation

System Monitoring

Cloud Computing

Team Leadership

Communication

Ausbildung

Bachelor's Degree in Computer Science or Related Field

Tools

AWS

Azure

Numpy

Scipy

Pandas

Dask

spaCy

NLTK

scikit-learn

Jobbeschreibung

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

1. Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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 Lead Research Engineer role if your background includes:

Essential skills & experience:

1. A Bachelor's Degree in Computer Science or Related Field.
2. At least 8 years of software engineering experience, ideally in the context of machine learning and natural language processing.
3. Experience leading technical workstreams within a software engineering organization.
4. Deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
5. Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
6. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
7. Proficient in writing clean, reusable, maintainable and well-tested code.
8. Demonstrated proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
9. Proficient in system analysis and design; consider DevOps and automation as fundamental pillars of your work.
10. Desire to learn and embrace new and emerging technology.
11. Familiarity with probabilistic models and understanding of the mathematical concepts underlying machine learning methods.
12. Experience leading and/or mentoring teams.
13. Experience providing guidance around roadblocks for the team.
14. Experience providing updates to internal stakeholders.
15. Exposure to cloud computing development (AWS/Azure).

Preferred skills & experience:

1. 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.
2. Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
3. Experience successfully taking and integrating Machine Learning solutions to production-grade software.

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:

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.

Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: two company-wide Mental Health Days Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

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.

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. 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.

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.

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.