Machine Learning Engineer Senior – Recommendation Systems

🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

🌟 Our Values

• 📊 We are Data Nerds
• 🤗 We are Open Team Players
• 🚀 We Take Ownership
• 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• Design, build, and maintain production recommendation systems at consumer scale.
• Develop ranking and retrieval models to improve personalization and user experience.
• Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring.
• Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions.
• Analyze large-scale user behavior data and run A/B tests to optimize recommendation performance.
• Improve reliability, scalability, and latency of production ML systems on AWS/GCP/Azure.

Required Skills

• 6 years of experience in Software/Data Engineering or ML roles.
• 4+ years building and operating ML systems in production.
• 2-3+ years working on recommendation systems, ranking, retrieval, or personalization.
• Strong Python and SQL skills. Experience with PyTorch or TensorFlow.
• Experience deploying ML systems on AWS, GCP, or Azure.
• Experience working with large-scale consumer data and production environments.
• Advanced English level and ability to work autonomously with stakeholders.
• Experience in e-commerce, adtech, martech, or consumer products.
• Experience with A/B testing, feature stores, Spark, or low-latency inference systems.

🎁 Perks

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!