Machine Learning Engineer (f/m/d) Jetzt bewerben
Machine Learning Engineer (f/m/d)

Machine Learning Engineer (f/m/d)

Hamburg Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Create cutting-edge algorithms and deep learning models for ad optimization.
  • Arbeitgeber: Join adjoe, a top mobile ad platform backed by Bertelsmann, innovating in the ad tech space.
  • Mitarbeitervorteile: Enjoy remote work options, 30 vacation days, free snacks, and a dog-friendly office.
  • Warum dieser Job: Be part of a dynamic team shaping the future of advertising with advanced technology.
  • Gewünschte Qualifikationen: 2+ years in Data Science, experience with deep learning, and strong programming skills required.
  • Andere Informationen: Relocation support and professional development opportunities available.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack , powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.

Meet Your Team: WAVE Data Science

Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, fighting against giants like Google, Meta and TikTok to present its own ads. To stand a chance in this fierce competition, the WAVE Data Science team builds creative algorithms using technologies ranging from simple linear regression to advanced deep learning models. Everything we do is based on solid research about user behavior as well as publisher and advertiser analysis to build competitive bidding algorithms that balance the advertisers’ goals, the publishers’ expectations and of course the user experience. To make our inventions come to life we use state-of-the art technology and work closely with the product and business teams to shape the future of adjoe’s core business and technologies.

What You Will Do

  • Dive into state-of-the-art algorithms and deep learning models to create recommendation systems, predict user behavior, and optimise user retention.
  • Conduct bidding algorithm experiments end-to-end: from idea generation and research to deployment to production, monitoring and decision making based on the results.
  • Dive deep into the technical implementation of our algorithms and optimise them for use in production.
  • Build systems to monitor technical and business KPIs in real-time.
  • Act as an advocate for data-related topics in the company and become the go-to person in your area of expertise.

Who You Are

  • You have 2+ years of professional experience in the Data Science field building recommendation systems or similar (for example in adtech, retail, search, ranking).
  • You have shown a great level of understanding of deep neural networks (libraries such as TensorFlow and PyTorch) and have experience developing deep neural networks for recommendation systems.
  • You have already deployed machine learning models to production yourself and you know how to monitor them.
  • You have a strong knowledge of Python, R, Scala, Julia or similar typical programming languages for Data Science and have experience writing production-ready code in it.
  • You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, Flink, S3, MySQL.
  • You are able to dive deep into mathematical foundations and explain complex topics in a simple way.
  • You are a strong team player and enjoy helping others.
  • Generating new ideas and solutions to problems, even unconventional ones, is something that brings you joy and that’s easy for you.
  • Plus: Experiences in deep cross networks and multi-task deep learning.
  • Plus: You have hands-on experience working with common Data Science / Machine Learning tools in production, for example TensorFlow, TensorFlow Serving, Airflow, Flink, Kafka, Terraform or other tools from our Tech Stack.

Heard of Our Perks?

  • Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
  • Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs and more.
  • Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday.
  • Physical & Mental Health Package: In-house gym with personal trainer, various classes like Yoga with expert teachers.
  • Activity Package: Regular team and company events, hackathons.
  • Education Package: Opportunities to boost your professional development with courses and trainings directly connected to your career goals.
  • Wealth building: virtual stock options for all our regular employees.

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Machine Learning Engineer (f/m/d) Arbeitgeber: applike group

At adjoe, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our WAVE Data Science team. With a vibrant work culture that emphasizes flexibility, professional growth, and well-being, employees enjoy benefits like remote work options, generous vacation days, and a supportive environment for continuous learning. Our state-of-the-art office in the heart of the city, combined with unique perks such as a dog-friendly atmosphere and wellness programs, makes adjoe a truly rewarding place to advance your career in machine learning.
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Kontaktperson:

applike group HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Machine Learning Engineer (f/m/d)

Tip Number 1

Familiarize yourself with the specific technologies mentioned in the job description, such as TensorFlow and PyTorch. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to tackle the challenges at adjoe.

Tip Number 2

Engage with the adtech community by participating in forums or attending meetups. This will help you stay updated on industry trends and may even lead to valuable connections that could support your application.

Tip Number 3

Prepare to discuss your previous projects involving recommendation systems or deep learning models in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.

Tip Number 4

Show your enthusiasm for collaboration and teamwork. Highlight experiences where you worked closely with product and business teams, as this aligns with adjoe's emphasis on cross-functional collaboration to shape their core business.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer (f/m/d)

Deep Learning
Recommendation Systems
Machine Learning
Python
R
Scala
Julia
TensorFlow
PyTorch
Data Analysis
Algorithm Development
Production Deployment
Monitoring and Optimization
AWS Athena
Kafka
Spark
Flink
MySQL
Mathematical Foundations
Team Collaboration
Creative Problem Solving

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position at adjoe. Understand the key responsibilities and required skills, especially in areas like recommendation systems and deep learning.

Highlight Relevant Experience: In your CV and cover letter, emphasize your 2+ years of experience in Data Science, particularly any work related to building recommendation systems or deploying machine learning models. Use specific examples to demonstrate your expertise.

Showcase Technical Skills: Clearly list your technical skills, especially your proficiency in programming languages like Python, R, or Scala. Mention any experience with tools such as TensorFlow, Kafka, or AWS, as these are crucial for the role.

Personalize Your Application: Tailor your cover letter to reflect your passion for data science and how you can contribute to adjoe's mission. Mention your enthusiasm for working in a team and generating innovative solutions, as these qualities are highly valued.

Wie du dich auf ein Vorstellungsgespräch bei applike group vorbereitest

Showcase Your Technical Skills

Be prepared to discuss your experience with deep learning models and recommendation systems. Highlight specific projects where you used libraries like TensorFlow or PyTorch, and be ready to explain the algorithms you implemented.

Demonstrate Problem-Solving Abilities

During the interview, share examples of how you've tackled complex data challenges in the past. Discuss your approach to generating innovative solutions and how you’ve applied them in real-world scenarios.

Understand the Business Context

Familiarize yourself with adjoe's business model and the competitive landscape of mobile advertising. Be ready to discuss how your work can impact user retention and bidding algorithms in this context.

Prepare for Behavioral Questions

As a strong team player, be ready to share experiences that demonstrate your collaboration skills. Think of examples where you helped others or contributed to a team project, showcasing your ability to work well in a group.

Machine Learning Engineer (f/m/d)
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