20 beste Stellen als machine learning engineer in berlin – aktuell auf Personalsuche

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machine learning engineer jobs near berlin

Data Scientist

adsquare GmbH
Berlin

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Details zur Stelle

Festanstellung | Vollzeit
60.000 € – 70.000 € pro Jahr

Leistungen

Firmenevents

Qualifikationen

TensorFlow
Datenmodellierung
Doktorat
Forschungserfahrung
Master
SQL
Pandas
AWS
Docker
Bachelor
Machine Learning
Psychologie
Redshift
Künstliche Intelligenz
Python
GIS

Vollständige Stellenbeschreibung

Berlin

Full-time

Permanent employee

60,000 - 70,000 € per year

Intro

Adsquare's mission is centered on:

Passion: Solving complex challenges with exceptional people, technology, and data.
Niche: Specializing in Location Intelligence for Programmatic Advertisers.

Our work is guided by our core values, and we look for candidates who embody them:

Drive: Turning ambition into action that brings valuable outcomes.
Resilience: Adapting, persevering, and growing stronger through challenges.
No BS: Upholding honesty, transparency, and clear communication.
Humble: Valuing modesty and letting results speak for themselves.
Moral Compass: Acting with fairness, integrity, and respect.

Your Mission

As a Data Scientist at Adsquare, you will transform massive geospatial and behavioral datasets into production-ready intelligence. You won't just build models in a vacuum; you will collaborate with ML Engineers and Product owners to integrate advanced analytics into our core programmatic advertising platform. This role is a blend of high-scale engineering and rigorous scientific research.

Your Profile

Experience: 5+ years (B.S.), 3+ years (M.S.), or 1+ year (Ph.D.) in a hands-on Data Science role.
Theoretical Mastery: Strong foundation in Probability, Inferential Statistics, Linear Algebra, and Experimental Design.
Python Stack: Expert proficiency in pandas, scikit-learn, PyTorch/TensorFlow, and FastAPI.
Large-Scale Data: Proven experience querying and manipulating TB-scale datasets using SQL (e.g., BigQuery, Athena, Redshift, or Snowflake).
Cloud Production: Experience deploying and monitoring models within AWS (SageMaker, Lambda) or similar cloud environments.

Educational Background:

Bachelor’s or Master’s degree (Ph.D. is an advantage) in a relevant quantitative empirical science field (e.g., Mathematics, Physics, Statistics, Engineering, Machine Learning, Computer Science, Economics, Social Sciences, Psychology, Neuroscience) or equivalent practical experience.

Soft Skills & Personal Attributes:

A strong commitment to Adsquare's core values: Drive, Resilience, No BS, Being Humble, and a strong Moral Compass.
Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable insights.
A proactive, research-driven approach to creatively and precisely solving complex challenges.

What you will do

End-to-End ML Development: Design, train, and deploy machine learning models at scale, focusing on location intelligence and audience attributes.
Production Excellence: Partner with Data/ML Engineers to ensure models are robust, monitored, and seamlessly integrated into our cloud-native production workflows.
Strategic R&D: Lead research initiatives involving LLMs (LangChain, MCPs, specialized agents) and classical statistical/ML modeling to solve complex spatial problems.
Data Advocacy: Conduct rigorous EDA and experiment design to ensure data quality and provide actionable insights for strategic decision-making.
Scientific Contribution: Represent Adsquare by contributing to peer-reviewed publications and staying at the forefront of spatial data science.

Nice to Have

Data Modeling: Experience with dbt and modern data stack orchestration.
Generative AI: Hands-on experience building LLM-based applications using e.g., LangChain, MCPs, Streamlit.
Domain Expertise: Prior experience in Programmatic Advertising or Geospatial/GIS data.

Our Software Stack

Languages: Python, SQL
Tools: AWS (SageMaker, Redshift, Athena), Snowflake, dbt, FastAPI, Docker
ML/AI: PyTorch, Scikit-learn, LangChain, Streamlit

Why us?

On top of a competitive package…

We are open to flexible work models: we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year
To encourage education and professional growth, we offer an individual yearly budget of 1.200€
You are entitled to 30 vacation days per year
We offer Urban Sports Club membership, company pension scheme
Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
We equip you with the latest hardware and provide you with all the tools you need to thrive

Salary Range (Annual On-Target Earnings)

60.000 - 70.000

Recruiting Process

could require on site steps

Step 1: Short 30-min take-home technical quiz.
Step 2: Value-based interview (30 mins).
Step 3: Deep-dive technical interview (1.5 hours) with the Data team.
Step 4: Practical data-crunching challenge.
Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other.

Work model

Hybrid

Desired start date

Asap

About us

Adsquare is the global audience & location intelligence company making marketing a whole lot smarter.

With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.

We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.

We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we’re doing because the work is never done.

We believe in what we do and rise to meet our own high standards. If there’s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.

We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.

We are consistent and true to our word. We don’t take shortcuts but focus on being our clients’ most reliable partner. We make promises - and we keep them. As a result, clients enjoy spending time with us, because we are good people.

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machine learning engineer Jobs in berlin