Location: Remote EU or Ljubljana, Slovenia

Peak Ventures is looking for an experienced machine learning engineer / data scientist to join our team as Senior Machine Learning Scientist. This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world.

The ideal candidate will have experience designing, developing, and deploying state-of-the-art ML algorithms for search, recommendations, and advanced content personalization into production systems. You should keep up with the latest advancements and best practices . You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With millions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that innovates at a quick pace.

Your Role

• Provide both hands-on/individual contributor support and technical thought leadership in the development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, yield optimization and dynamic content decisioning capabilities.
• Leverage knowledge of software engineering principles to develop and deploy production machine learning solutions that can scale to millions of requests per second with milliseconds latency.
• Maintain expert knowledge in the latest in machine learning with an emphasis on emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking.
• Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings.
• Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies.
• Utilize broad and deep knowledge of machine learning to contribute to the development of Peak Ventures’ roadmap for core machine learning capabilities.
• Coach and mentor data scientists to elevate the talent bar across our team.

What You Will Bring

• Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience.
• 5+ years hands-on experience building ML driven products from inception to full productization.
• 3+ years of professional hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, etc).
• 5+ years of professional software engineering experience
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia).
• Strong software design and implementation skills with a general-purpose programming language (e.g. Go, Rust, Scala, C++/C#, Java, etc).
• Experience researching & developing algorithms for search and/or dynamic content recommendations is a plus, AdTech exposure is a big plus.
• Cloud ML-Platform (eg. DataBricks, AWS SageMaker) and mlflow experience is a plus
• Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques.
• Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products.
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members.
• Experience mentoring and coaching junior team members.

Benefits

• Competitive salary & bonus opportunities.
• Professional training and education reimbursement program.
• Highly interactive, challenging work with a talented, diverse, passionate team.
• Generous employee perks.
• Virtual company events and team social activities.