Machine Learning Engineer

Smartly
Konigs Wusterhausen, Germany
1 day ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Computer Vision C++ (Programming Language) Cloud Computing Data Infrastructure Software Debugging Python (Programming Language) Machine Learning Natural Language Processing Pair Programming
+11 more
Tensorflow Software Systems Data Processing Feature Engineering Pytorch Model Validation Generative AI AI Platforms Kubernetes Machine Learning Operations Data Pipelines

Job description

  • Build ML-based software systems that enable our users to craft great advertising experiences and campaigns
  • Work with a large span of datasets from image to video to audio to text to structured performance data.
  • Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
  • Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
  • Impact the daily life of the staff of the hundreds of advertisers using Smartly
  • Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
  • Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
  • Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

Requirements

  • 5+ years of experience developing and deploying production-quality software
  • 2+ years of experience delivering software services powered by machine learning
  • 2+ years of experience working with cloud infrastructure such as AWS or GCP
  • Fluent in Python; experience with C++ or Java is a plus
  • Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
  • Experience in feature engineering, model evaluation, diagnostics, and monitoring
  • Strong foundation in linear algebra, statistics, and calculus
  • Experience building scalable data pipelines for ML-based data processing
  • Experience developing and maintaining services under SLA
  • Analytical mindset with a problem-solving approach
  • Passion for solving customer challenges quickly while making thoughtful architectural decisions
  • Adaptability and resilience when facing new or ambiguous challenges
  • Strong written and verbal communication skills in English
  • M.Sc. in a relevant field is preferred
  • Ability and willingness to work in a hybrid capacity from our office 3 days a week

Benefits & conditions

An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged.

Global Impact: Contribute to a company making a global impact, directly influencing our customers’ success and business growth.

Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave.

Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities.

Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.

About the company

Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers.

Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all