AI Summary
Albatross AI seeks an Applied Scientist to advance real-time machine learning, personalization, and search. Responsibilities include designing and implementing state-of-the-art ML algorithms for recommendation and search engines. Requires a PhD and proven experience shipping ML models in production.
Key Highlights
Build the perception layer of AI for real-time user experience understanding.
Design and implement advanced ML algorithms for recommendation and search.
Work with deep learning, reinforcement learning, and LLMs.
Key Responsibilities
Design, implement, and improve the ML algorithms that power our recommendation and search engine
Prototype and validate novel approaches in areas such as deep learning, reinforcement learning and LLMs
Collaborate with Data Scientists and Engineers to generalize solutions and contribute to shared tooling
Maintain a high standard of code quality and experimentation discipline
Publish technical work and help represent Albatross in the ML research community and ensure our approach remains ahead of the curve
Work backward from product goals to guide the development of algorithmic solutions
Drive innovation in areas such as transformer architectures, multimodal embeddings, advanced information retrieval, and scalable retraining
Technical Skills Required
Benefits & Perks
Flexibility to work from anywhere across Europe
Budget for learning and training, attend events and conferences
Nice to Have
Experience reading and implementing ideas from academic papers
Understanding of algorithms for search, ranking, recommendation, or representation learning
Publications in top ML or data science conferences (e.g. NeurIPS, ICML, KDD, RecSys, SIGIR)
Job Description
Location: Remote in Europe
At Albatross, we're building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. Trained on live user interactions, Albatross learns and reasons on the fly. Our technology powers real-time, in-session discovery by adapting to evolving user interests, in real-time. We have raised significant funding and our platform already operates at scale, with billions of events being processed and hundreds of millions of predictions served.
The Role
As an Applied Scientist you will help push the boundaries of real-time machine learning, personalization and search. You will design state-of-the-art algorithms and turn them into product-ready capabilities that power decision-making across billions of interactions. More specifically you will:
- Design, implement, and improve the ML algorithms that power our recommendation and search engine
- Prototype and validate novel approaches in areas such as deep learning, reinforcement learning and LLMs
- Collaborate with Data Scientists and Engineers to generalize solutions and contribute to shared tooling
- Maintain a high standard of code quality and experimentation discipline
- Publish technical work and help represent Albatross in the ML research community and ensure our approach remains ahead of the curve
- Work backward from product goals to guide the development of algorithmic solutions
- Drive innovation in areas such as transformer architectures, multimodal embeddings, advanced information retrieval, and scalable retraining
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- PhD in Machine Learning, Computer Science, Mathematics, or a related field
- Proven experience in developing and shipping ML models in production
- Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience reading and implementing ideas from academic papers
- Understanding of algorithms for search, ranking, recommendation, or representation learning is a plus
- Publications in top ML or data science conferences (e.g. NeurIPS, ICML, KDD, RecSys, SIGIR) are a plus
- Strong communication skills in English and collaboration skills
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Flexibility to work from anywhere across Europe
- Budget for learning and training, attend events and conferences
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