Machine Learning Engineer: Personalization

Lever, Inc.; Schweiz; Remote; CHF 67.000 - 100.000; Vollzeit

Benefits dieser Stelle

Fully remote environment

Unlimited vacation

Work-from-home stipend

Apple laptop provided

Annual training budget

Maternity/paternity leave

Team offsite events

Stock options

Zusammenfassung

Lever, Inc. is seeking a Machine Learning Engineer focused on Personalization to join a fully remote team.

You will design, build, and operate high-load machine learning services that power personalized experiences across e-commerce products globally. You will translate user behavior into relevant recommendations, run experiments (A/B tests), and collaborate with ranking and search teams to deliver scalable solutions.

Qualifikationen

• 3+ years of professional experience in applied machine learning.
• Proficiency in Python and SQL, with big data stack experience.
• Experience building, deploying, and maintaining personalization or ranking systems.
• Production ML experience in high-scale environments.
• Experience designing and analyzing A/B tests and using results to guide decisions.
• Ability to communicate ML value to stakeholders.
• Experience with one or more public cloud platforms is a plus.
• Excellent English communication skills.
• Ability to work autonomously and take ownership.

Aufgaben

• Develop and improve personalized experiences across products and domains.
• Design and maintain high-load, real-time ML services for personalization at scale.
• Model user interactions and signals to understand shopper preferences.
• Research different personalization approaches and validate hypotheses with data and experiments.
• Collaborate with engineering and ML teams to deliver integrated solutions.
• Communicate findings and business value clearly to stakeholders.
• Take ownership from investigation through implementation and continuous improvement.

Kenntnisse

Python

SQL

A/B testing

Cross-functional collaboration

Cloud platforms

Tools

AWS

GCP

Docker

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer: Personalization based in Switzerland.

As part of the Personalization team, you will help shape the e-commerce experience for hundreds of millions of shoppers worldwide.
You will design, deliver, and maintain high-load, real-time machine learning services that power personalized experiences across products, platforms, and domains.
Your work will focus on understanding user interactions and turning behavioral signals into relevant, impactful recommendations and experiences.
You will research and test personalization approaches, using experimentation and data to validate hypotheses and improve key business metrics.
You will work closely with machine learning and engineering teams, including teams responsible for ranking and search, to build cohesive experiences.
The role combines hands‑on applied machine learning with product thinking, stakeholder collaboration, and end‑to‑end ownership.
You will join an open, cooperative, fully remote environment where autonomy, empathy, and measurable impact are highly valued.

Accountabilities

• 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‑functionally 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.

Requirements:

• 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 machine learning product development.
• Proven experience building, deploying, and maintaining 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.

Benefits:

• Fully remote working environment, giving you flexibility over where you live.
• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation each year.
• Work-from-home stipend to help you create a well-equipped home office.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.
• Regular team offsite events to connect and collaborate.
• Opportunity to work with talented and empathetic colleagues who support your growth and enable you to make a meaningful impact.
• Base salary of $80,000–$120,000 USD, depending on knowledge, skills, experience, and interview results.
• Stock options offered in addition to the base salary.

We appreciate your interest and wish you the best!

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