ML Engineer: Personalization — Remote & Stock Options

Jobgether SRL; Schweiz; Remote; CHF 67,000 - 100,000; Full time

Benefits offered by this job

Fully remote environment

Unlimited vacation

Work-from-home stipend

Apple laptop provided

Annual training and development budget

Stock options

Maternity and paternity leave

Regular team offsite events

Job summary

Jobgether SRL in Switzerland seeks a Machine Learning Engineer for Personalization to shape e-commerce experiences for hundreds of millions of shoppers.

You will design, deploy, and maintain high-load, real-time ML services powering personalized experiences across products and domains, collaborating with ranking/search teams and other stakeholders. Remote, autonomous, and impact-driven environment.

Qualifications

• 3+ years of professional experience in applied machine learning.
• Strong proficiency in Python and SQL, with experience using the big data stack for end-to-end ML product development.
• Experience building personalization, recommendation, or ranking systems in production.
• Practical understanding of machine learning development in high-scale, production environments.
• Experience designing and analyzing A/B tests and using experimental results to guide product or model decisions.
• Experience translating machine learning initiatives into measurable business value and communicating that value effectively to stakeholders.
• Experience with one or more major public cloud platforms is a plus.
• Excellent English communication skills, both written and verbal.
• Experience working effectively in cross-functional teams with technical and non-technical colleagues.
• Strong analytical and problem-solving skills, with the ability to investigate complex problems and turn findings into actionable outcomes.
• Ability to work autonomously, take ownership, and make progress independently.
• Proactive mindset with a strong focus on collaboration, learning, and delivering meaningful impact.

Responsibilities

• Develop and improve personalized experiences across different products, platforms, and e-commerce domains.
• Design, build, ship, and maintain high-load, real-time machine learning services supporting personalization at scale.
• Model user interactions and behavioral signals to better understand shopper preferences and deliver relevant experiences.
• Research and evaluate different personalization and recommendation approaches to identify opportunities for improvement.
• Formulate and validate hypotheses around personalization using data, experimentation, and A/B testing.
• Analyze the impact of personalization initiatives and identify opportunities to improve key business performance indicators.
• Collaborate closely with technical and non-technical stakeholders to develop, refine, and evolve personalization capabilities.
• Work cross-functional with engineering and machine learning teams, including ranking teams, to deliver integrated solutions.
• Communicate technical findings, recommendations, and business value clearly to stakeholders within and beyond the team.
• Take ownership of problems from investigation and experimentation through implementation and continuous improvement.

Skills

Python

SQL

Big data

Personalization systems

AB testing

Cloud platforms

English

Cross-functional teamwork

Analytical thinking

Independent work

Job description

Jobgether SRL in Switzerland seeks a Machine Learning Engineer for Personalization to shape e-commerce experiences for hundreds of millions of shoppers.

You will design, deploy, and maintain high-load, real-time ML services powering personalized experiences across products and domains, collaborating with ranking/search teams and other stakeholders. Remote, autonomous, and impact-driven environment.