Jobgether

Machine Learning Engineer - Personalization

Jobgether

Remote · Full Time

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Experience
3+ yrs
Salary
USD 80,000 – USD 120,000 / year
Openings
1
Posted
12 seconds ago
Work mode
Work from home
Resume
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Job description

About the Role

We are seeking a Machine Learning Engineer to join the Personalization team, focusing on enhancing the e-commerce experience for hundreds of millions of shoppers globally. This fully remote role based in Ireland involves designing, delivering, and maintaining scalable, real-time ML services that power personalized user experiences across various products and platforms.

Key Responsibilities

  • Create and enhance personalized experiences across different e-commerce products and platforms.
  • Develop and maintain high-throughput, real-time machine learning services supporting personalization at scale.
  • Model user behaviors and interaction signals to better capture shopper preferences for relevant recommendations.
  • Research, evaluate, and implement different personalization and recommendation strategies to improve system performance.
  • Formulate hypotheses related to personalization, validate using data-driven experimentation and A/B testing.
  • Analyze the effects of personalization initiatives and identify ways to improve crucial business metrics.
  • Collaborate with both technical and non-technical stakeholders to grow and refine personalization capabilities.
  • Partner cross-functionally with engineering and ML teams, such as ranking teams, to provide seamless integrated solutions.
  • Communicate technical insights and business value clearly within and outside the team.
  • Own problems fully from initial investigation through experimentation, implementation, and ongoing improvement.

Requirements

  • Minimum three years of professional applied machine learning experience.
  • Proficiency in Python and SQL, with experience working within big data environments for end-to-end ML product development.
  • Demonstrated experience building, deploying, and maintaining production-level personalization, recommendation, or ranking systems.
  • Good practical knowledge of ML development in high-scale, production settings.
  • Skilled in designing, analyzing A/B tests and leveraging experimental results to drive model and product decisions.
  • Ability to translate ML initiatives into measurable business impact and communicate effectively to stakeholders.
  • Experience with at least one major public cloud platform considered advantageous.
  • Excellent verbal and written communication skills in English.
  • Experience working effectively in multidisciplinary teams including both technical and non-technical members.
  • Strong analytical and problem-solving skills, with an ability to dissect complex issues into actionable outcomes.
  • Self-driven with the capacity to take ownership and progress independently.
  • Proactive, collaborative, and committed to ongoing learning and impactful delivery.

Benefits

  • Work remotely with total flexibility in location.
  • Unlimited vacation policy with encouragement to take at least three weeks annually.
  • Home office stipend to support a productive workspace.
  • Provision of Apple laptops to new team members.
  • Annual budget dedicated to training and professional growth.
  • Maternity and paternity leave available for qualified employees.
  • Frequent team offsite events to foster connection and collaboration.
  • Opportunity to work alongside skilled, supportive colleagues dedicated to your development and impact.
  • Competitive base salary ranging from $80,000 to $120,000 USD based on skills and experience.
  • Stock options provided in addition to salary.

Additional Information

This role is managed by a partner company located in Ireland who handles the recruitment process independently. The application review process leverages AI tools to ensure objective, efficient candidate shortlisting, but all hiring decisions are made by humans. Data protection complies with GDPR regulations, and applicants have full rights to access and manage their personal data.

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