Overview

Your Typical Day With Us
• Research, design, and build machine learning systems for recommendation systems
• Select appropriate algorithms and fine-tune models for optimal performance
• Evaluate model performance and suggest improvements where appropriate
• Integrate machine learning models into production
• Staying up-to-date with the latest machine learning technologies and methodologies
• Execute critical phases within the ML lifecycle

What You’ll Need
• 5+ years of work experience as a Machine Learning Engineer or Data Scientist with a minimum of 2 years in a leadership role.
• Solid Machine Learning background and deep understanding of certain domain of machine learning techniques, especially in recommendation systems
• Machine Learning skills:
• Familiarity with recommendation system and ranking algorithms
• Knowledge on A/B testing, statistical sampling, and hypothesis testing
• Development skills:
• Strong proficiency in Python.
• Familiarity with frameworks such as… Tensorflow and Pytorch.
• Experience building and deploying machine learning models in a production environment
• Familiarity with model monitoring techniques and tools
• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning

What Makes You Stand Out
• Ph.D. in a quantitative field such as Computer Science, Mathematics, Statistics, or Machine Learning
• Hands-on working experience in MLOps frameworks
• Extensive knowledge, and ideally work experience, in recommendation systems, deep learning, and optimization methods and some experience in Natural Language Processing.
• Familiarity with:
• LLM
• generative AI(esp. RAG)
• customer experience and customer journey in e-commerce
• Experience in Big Data technologies

Don’t just take our word for it

Zeals has received the LinkedIn Top Startups award twice in a row. We believe this is a testament to our growth and ability to attract outstanding talents–who could potentially be your colleague!

Ready to roll up our sleeves

We obsess over bringing hospitality to everyone–be it our customers or you! You’re an individual with unique needs. So, while we can’t attract you with ping-pong tables or all-you-can-drink espresso bars, we promise you a once-in-a-lifetime experience and co-workers that you can brag about to your friends, family, or anyone you meet the next time you go out for a party! As an employer, we are ready to roll up our sleeves and change the status quo if it means improving your experience!
• Salary Range: competitive (performance review every 6 months)
• Performance review: twice a year
• Holidays: 10 days paid holidays during the first year, weekends off, national holidays, summer and winter break.
• Visa support: We sponsor visas for suitable candidates. You can expect full visa support from our professional HR team.
• Education support: Udemy, Frontend Masters
• Flexible working: Highly flexible, remote-first international organization
• For Japanese residents: Work from anywhere, interim work from overseas, full flex time
• Housing allowance (within 1.5KM away from the office)

Club activity allowance
• Shuffle Lunch allowance (Cross department lunch)
• Zeals Bar (bi-monthly free-flow beer party

Company:

Technology & Product

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

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