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Machine learning Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Denmark

Offer summary

Qualifications:

Strong background in machine learning theory, Hands-on experience with production ML systems, Proficient in Python, Scala or similar, Experience with TensorFlow is a plus, Familiarity with cloud platforms like GCP or AWS.

Key responsabilities:

Design, build, and evaluate ML solutions
Collaborate with agile multi-functional teams
Prototype new approaches for user interaction
Drive optimization and improve quality
Participate in an active ML practitioners group

emagine Large https://www.emagine.org/

501 - 1000 Employees

See more emagine offers

Job description

We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention and conversion funnels to improve important business metrics like SUBS and MAU.

Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow.

Our vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized experience for listeners throughout their user journey that powers every messaging and conversion campaign.

This role sits in a squad called White Mouse that owns the optimization of plan upsell targeting across the company. Our key problem areas are: What plan should the user be upsold on discovery surfaces? How should we communicate the user on consideration surfaces? How should we balance upselling plans vs other paid products? We are also working on projects around ad load optimization.

What you’ll do

Contribute to designing, building, evaluating, shipping, and refining the company’s product by hands-on ML development
Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
Help drive optimisation, testing, and tooling to improve quality
Be part of an active group of machine learning practitioners in your mission and across the company Who you are
You have a strong background in machine learning, theory, and practice -You are comfortable explaining the intuition and assumptions behind ML concepts
You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages
Experience with TensorFlow is also a plus
You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models
You preferably have experience with cloud platforms like GCP or AWS
You care about agile software processes, data development, reliability, and focused experimentation
You have a desire to drive business impact

Start Date: 2024-11-25

End Date: 2025-11-25