Machine Learning Engineer
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| Company Name | Trustpilot |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Copenhagen, Capital Region of Denmark, Denmark |
| Qualifications | None / No Formal Education |
| Experience | 3 Year+ |
Job Overview
Trustpilot is actively seeking a Machine Learning Engineer to join their innovative team in Copenhagen, Denmark. In this role, you will be instrumental in developing, deploying, and optimizing advanced machine learning models that will power Trustpilot’s platform and enhance user experiences globally. You will contribute to a product that builds trust between consumers and businesses.
Company Overview
Trustpilot, founded in 2007, operates with the core mission to be the universal symbol of trust by connecting consumers and businesses through authentic reviews. As an open, independent, and impartial platform, Trustpilot helps consumers make informed choices and enables businesses to build trust, grow, and improve. With over 300 million reviews and 64 million monthly active users globally, Trustpilot is a leading force in the review space. Headquartered in Copenhagen, the company boasts over 1,000 employees and maintains operations across major cities including Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan, and New York. Trustpilot values trust and transparency, which it strives to reflect in all its interactions.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: 3 Year+
Key Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms for various product features.
- Collaborate with cross-functional teams including product managers, data scientists, and engineers to define ML problems and solutions.
- Analyze and process large datasets to extract meaningful insights and prepare data for model training.
- Monitor, evaluate, and fine-tune deployed models to ensure optimal performance and accuracy.
- Research and implement new machine learning techniques and technologies to stay at the forefront of the industry.
- Contribute to the MLOps infrastructure for efficient model lifecycle management.
Requirements
- Proven experience as a Machine Learning Engineer or in a similar role focusing on ML development.
- Strong proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of machine learning principles, data structures, and algorithms.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus.
- Relevant educational background in Computer Science, Engineering, Statistics, or a related quantitative field.
- Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
Benefits
- Opportunity to work with a leading global company at the forefront of trust and transparency.
- Engage in impactful projects that directly influence millions of users worldwide.
- Competitive salary package and comprehensive health and wellness benefits.
- Generous professional development budget and career growth opportunities.
- Collaborative, inclusive, and innovative work culture.
- Flexible working arrangements to support work-life balance.