Applied AI Engineer
Indexed description
Key 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
- 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.
- 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.
We embrace a culture of curiosity, speed, innovation and excellence. We believe in continuous learning, experimentation, and pushing the boundaries of what's possible in AI technology. You'll be working closely with the founding team, including Anders (ex-partner at VC, McKinsey), and David (ex-tech and product leader at unicorn companies Spotify, Zettle and Lunar).
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.
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