Senior Machine Learning Engineer

Smartly

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you! AS A SENIOR MACHINE LEARNING ENGINEER, YOU’LL: * 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. WHAT WE ARE LOOKING FOR: * 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 WHAT WE OFFER YOU At Smartly, we offer a place where you can advance your career. Here, you'll find: 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.   Apply Now and Build Your Future with Smartly! Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together ABOUT SMARTLY 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. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.

Smartly

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for Data Science and the marketing space, this team is for you! AS A SENIOR DATA SCIENTIST, YOU’LL: * Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability. * Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production. * Work with a large span of datasets from image to video to audio to text to structured performance data.  * Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes. * You’ll work alongside our stellar data scientists, senior machine learning engineers, 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. 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 AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.   WHAT WE ARE LOOKING FOR: * 5+ years of experience in data science or applied machine learning * 2+ years of experience working with cloud infrastructure such as AWS or GCP * Strong foundation in linear algebra, statistics, and calculus * 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 design, evaluation, diagnostics, and monitoring * Analytical mindset with a problem-solving approach * Passion for solving customer challenges quickly while making thoughtful architectural decisions * Ability to communicate complex technical findings to both technical and non-technical stakeholders. * 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 WHAT WE OFFER YOU: * Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback. * Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth. * Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave. * Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities. * Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days. Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!   #LI-OK #LI-Hybrid ABOUT SMARTLY 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. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.

Voodoo

ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration. This role can be either Paris or Helsinki based and done in a hybrid setup. ROLE We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring. In this role, you will be leading the following topics: * Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies. * Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse). * Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints. * Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support. * ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling. * Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems. * Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers. * Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role. PROFILE We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale. * 5+ years minimum of experience as an ML Engineer or a similar role * End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration * Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs * Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping * ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning * Performance Optimization: Experience optimizing memory usage during data preprocessing and model training * Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning) * Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics * ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.) * Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus * Excellent communication skills in English OUR STACK Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services BENEFITS * Excellent benefits that will depend on the country you're based in