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Associate Machine Learning Engineer ( Consumer - Global Recommendations & AI - Machine Learning Platform )

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Delivery Hero

2mo ago

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    Software Engineering
  • Berlin

AI generated summary

  • You should possess strong analytical skills, hands-on experience in live environments, an innovative mindset, a desire for growth, teamwork capability, excellent communication, and troubleshooting skills.
  • You will develop features for the ML platform, collaborate with data scientists and engineers, write clean code, present solutions, and adapt to new technologies for global personalized experiences.

Requirements

  • Problem-Solving Skills: Strong analytical and problem-solving skills, with familiarity in modern programming languages like Python, Java, or Golang.
  • Real-World Experience: Hands-on experience building features for applications deployed in live environments.
  • Innovation Mindset: Proven ability to create demo applications and proof of concepts using open-source tools.
  • Growth Orientation: A strong desire for continuous learning and professional development.
  • Team Player: A collaborative spirit and a commitment to understanding and addressing customer pain points.
  • Effective Communicator: Excellent communication skills, both written and verbal, with fluency in English.
  • Troubleshooting Skills: Ability to analyze issues, identify root causes, and determine effective solutions.

Responsibilities

  • Be part of a team that powers personalized experiences for millions of customers across the globe, every single day.
  • Build and Innovate: Contribute to the development of our Global ML Platform's features, taking ownership and driving impactful changes.
  • Collaborate and Solve: Partner closely with data scientists and software engineers to understand their needs and create solutions that optimize their workflows.
  • Craft Quality Code: Write clean, maintainable code, comprehensive test cases, and clear documentation for your components.
  • Share and Learn: Present your solutions to stakeholders, gather feedback, and iterate to improve.
  • Grow and Adapt: Embrace new technologies and apply them to solve challenging problems in our dynamic global environment.

FAQs

What is the role of an Associate Machine Learning Engineer in this position?

The Associate Machine Learning Engineer will contribute to the development of the Global ML Platform, collaborate with data scientists and software engineers, write clean code, and continuously innovate to enhance personalized experiences for customers.

What kind of experience is required for this position?

Candidates should have hands-on experience building features for applications in live environments and familiarity with modern programming languages like Python, Java, or Golang.

Is there a focus on collaboration in this role?

Yes, collaboration is essential; the Associate Machine Learning Engineer will partner closely with data scientists and software engineers to understand their needs and create solutions.

What opportunities for professional development are offered?

The company provides a €1,000 educational budget, language courses, access to the Udemy Business platform, and support for career growth opportunities.

Are there any specific skills that would be beneficial for candidates?

Yes, experience with public cloud platforms, familiarity with bootstrapping development environments, and an understanding of MLOps principles are considered nice to have.

How many vacation days does Delivery Hero offer?

Delivery Hero offers 27 vacation days, with an additional day off in the 2nd and 3rd year of service.

What is the work environment like at Delivery Hero?

Delivery Hero operates in a hybrid work model, encouraging team members to connect and collaborate on-site at the beautiful Berlin campus for two days a week.

What benefits are available related to health and wellness?

Employees can access health checkups, meditation sessions, yoga classes, a gym and bicycle subsidy, and other health-related benefits.

What is the company's stance on diversity and inclusion?

Delivery Hero believes diversity and inclusion are key to creating an exciting product and a positive employee experience, and they do not discriminate based on various identities and characteristics.

How does Delivery Hero support employee financial wellness?

Benefits include an Employee Share Purchase Plan, a sabbatical bank, discounts on public transportation tickets, life and accident insurance, and a corporate pension plan.

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Delivery Hero

We build, We deliver, We lead.

Technology
Industry
10,001+
Employees

Mission & Purpose

As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.