Applied AI Engineer

Responsibilities

• Design and implement machine learning models for data quality assessment and validation
• Develop algorithms for automated data labeling and annotation verification
• Create and maintain data processing pipelines for various AI training data types
• Develop and optimize matching algorithms between data providers and buyers
• Implement scalable solutions for processing and analyzing large datasets
• Collaborate with the product team to develop new features for the marketplace platform
• Research and implement state-of-the-art ML techniques for data quality improvement
• Work with customers and stakeholders to understand and implement data requirements for various AI use cases

Requirements

• Strong experience in developing, training and deploying AI / Machine Learning models
• Proficiency in Python and ML frameworks (PyTorch, R, Scala, Huggingface)
• Knowledge of model deployment techniques and serving frameworks like TensorFlow Serving, TorchServe, or custom APIs
• Experience with large-scale data processing and distributed computing
• Experience with containerization and orchestration tools like Docker and Kubernetes as well as version control tools such as Git.
• Strong communication skills and ability to work in a fast-paced environment
• Comfortable writing queries, exploring data, and collaborating on hypotheses with product and engineering counterpart
• Proficiency in independently setting up and managing cloud services that support scaling on a global level
• Master's or Ph.D. in Computer Science, Machine Learning or similar is a plus.
• Why join Redpine?
• Be part of a cutting-edge company shaping the future of data in AI.
• Work in a global-first, AI-native environment with industry-leading professionals.
• Enjoy a competitive base salary with significant equity upside.
• Engage with top-tier partners across AI, finance, publishing, healthcare, and more.
• About Redpine
• Redpine is an AI-native, global-first company building the knowledge layer for AI. We unlock compliant access to high-quality, non-public, multi-modal data in fields like medicine, science, law, and finance, enabling data owners to monetize their content in a controlled way.
• We prioritize an office-first culture (in Stockholm) to fuel collaboration and connection, but we're big on autonomy - for those days you need a "deep work" day at home or have life admin to handle.
• If you are eager to make a meaningful impact in the AI space, we'd love to hear from you. We are committed to building a diverse and inclusive team: if you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway.

Benefits

Additional Information

We interview on an ongoing basis. Please submit your application sooner rather than later. We are seeking an innovative Applied AI Engineer to own the definition, scaling and expansion of AI/ML solutions at Redpine. Our mission is to be the leading knowledge layer for trusted AI data. In this role, you will be instrumental in developing and implementing machine learning solutions that power our platform, enabling organizations to efficiently source, validate, and manage high-quality training and inference data for their AI models. You will be among the first key employees building sophisticated algorithms for data quality assessment, automated validation and evaluation systems, and intelligent data matching solutions.

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