Senior Machine Learning Engineer: ML Recall in Switzerland
This role sits at the core of a next-generation e‑commerce search and discovery platform that operates at massive global scale. You will be responsible for building and optimizing machine learning systems that directly impact relevance, recall, and business‑critical outcomes such as conversion and revenue. Working on cutting‑edge transformer‑based and multimodal models, you will help shape how users discover products across search, recommendations, and visual shopping experiences. The environment is highly technical and innovation‑driven, with a strong emphasis on production‑grade ML systems and measurable impact. You will collaborate with talented engineers across distributed teams to push the boundaries of LLMs, deep learning, and large‑scale data systems. This is an opportunity to work on one of the most advanced AI‑driven e‑commerce search infrastructures in the industry.
Accountabilities
Design, build, and deploy robust machine learning systems for search and discovery, including NLP, image‑based, and multimodal models that improve recall and relevance.
Develop and optimize ML/DL models using transformer architectures and LLM techniques to enhance system performance and business KPIs.
Translate research ideas and hypotheses into production‑ready engineering solutions that improve search quality, ranking, and user experience.
Work on large‑scale distributed data pipelines and ML workflows using big data technologies to support end‑to‑end model development and deployment.
Collaborate closely with cross‑functional engineering teams to integrate models into broader platforms and ensure system scalability and reliability.
Conduct performance optimization and iterative experimentation to continuously improve model efficiency and business impact.
Requirements
3+ years of professional experience in applied machine learning with a proven track record of delivering production‑grade ML systems.
Strong expertise in NLP, particularly transformer‑based models, along with solid understanding of classical machine learning techniques.
Advanced Python skills and hands‑on experience with deep learning frameworks (PyTorch preferred).
Strong experience with SQL (e.g., SparkSQL, MySQL or similar) and working knowledge of large‑scale data processing systems such as PySpark.
Ability to translate business problems into data‑driven hypotheses and implement scalable engineering solutions with measurable impact.
Strong problem‑solving mindset, proactivity, and ownership‑oriented approach to technical challenges.
Excellent collaboration and communication skills, with the ability to explain complex ML concepts clearly and work effectively in team environments.
Nice to have: experience with A/B testing, cloud platforms (AWS/GCP/Azure), Rust or C/C++, strong algorithmic thinking, and interest in performance optimization.
Benefits
Fully remote work setup, allowing you to choose your location.
Unlimited vacation policy with encouragement to take at least 3 weeks off annually.
Home office stipend to support your remote work environment.
Company‑provided Apple laptop for all new employees.
Annual learning and development budget for continuous professional growth.
Paid maternity and paternity leave for eligible employees.
Stock options in addition to a competitive base salary.
Regular team offsites to foster collaboration and connection.
Opportunity to work with highly skilled peers on impactful, large‑scale AI systems.
Base salary range: $80,000 – $120,000 USD depending on experience and performance.
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