Machine Learning Engineer, Corsearch
Intelligent trademark and brand protection solutions
Be an early applicant
Intelligent trademark and brand protection solutions
1001+ employees
Be an early applicant
1001+ employees
Company mission
To revolutionise how companies commercialise and protect their growth.
Role
Who you are
- Proven experience as a Machine Learning Engineer with at least 3 years of professional experience
- Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras
- Experience with image processing, feature extraction, and text preprocessing techniques
- Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis
- Hands-on experience with large datasets and data pipelines for training and deploying ML models
- Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions
- Full professional English proficiency
What the job involves
- As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands
- You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions
- Collaborating with Corsearch’s global team of data scientists, engineers, and brand protection experts, you’ll help drive innovation in brand protection and online content monitoring, ensuring our clients stay ahead in a rapidly evolving digital landscape
- Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition)
- Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis
- Collaborate with cross-functional teams to improve product and system performance
- Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions
- Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation
- Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations
Application process
- We usually respond within three days
Salary benchmarks
Our take
The internet has radically transformed the business landscape, creating new challenges for companies trying to protect their intellectual property. As brands face increasingly complex issues related to safeguarding their assets, Corsearch has stepped in with a suite of tools designed to secure brand value. offering everything from data and analytics to professional consulting.
In 2021, Corearch took a major leap forward when private equity firm Astorg acquired the company. This buyout sparked a period of significant growth, marked by strategic leadership hires, product development, and key acquisitions. These moves have paid off, positioning Corsearch as a leader in brand protection.
Now, as Corsearch looks to the future, it faces the challenge of staying ahead in an ever-evolving market. To maintain its competitive edge, the company is focusing on integrating the latest technologies, particularly those developed by AI-powered, venture-backed startups. By embracing these innovations, Corsearch is poised to continue its leadership in brand security and IP protection.
Freddie
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Company HQ
City of London, London, UK
Leadership
Abel Clarke
(CEO)Abel was CEO of Cision, a global leader in PR, IR, marketing and social media management technology and intelligence. Previously, Abel was the CEO and Chairman of TruSight, a startup backed by leading financial services companies and focused on third-party risk management, and prior to that, they were the Global Managing Director of Thomson Reuters' $5.5 billion Financial Division.
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