Senior Machine Learning Engineer, AI Platform

Smartly

We are looking for a Senior Software 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! We use Python, TypeScript, PostgreSQL, Node.js, Docker and Kubernetes for our microservices, TypeScript and React in the frontend of our products. HERE'S WHAT YOU'LL DO... * Design, build and maintain backend services that sit at the core of Smartly.io’s campaign optimization products. * 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. * Support data scientists in bringing machine learning models to production. * Mentor your team on software development practices and propagate best practices like testing, monitoring, or clean code. * Use your skills and experience to continuously improve our software architecture, coding practices, tools, and processes. * 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. * Impact the daily life of the staff of the hundreds of advertisers using Smartly HERE'S WHAT WE'RE LOOKING FOR... * We’re seeking an experienced Software Engineer with Strong Python skills * 5+ years of experience developing and deploying production-quality software * 2+ years of experience working with cloud infrastructure such as AWS or GCP * Experience with NodeJS, React, TypeScript is a plus * Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) is a plus * Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow) is a plus * 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 * Ability to work 3 days / week at our office * M.Sc. in a relevant field is preferred 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: Experience the flexibility of a hybrid work 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-hybrid #LI-JF2   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 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.

Doctrine

Our Mission ⚖️ At Doctrine, we're building Europe's leading legal AI platform. Our belief? Law shouldn't be slowed down by repetitive tasks. It should be augmented by a specialised AI, designed to understand, analyse and produce legal reasoning at the highest standard. Our ambition? To help legal professionals work with greater reliability, efficiency and peace of mind, through a single, comprehensive and secure platform. Today, 27,000 legal professionals across five countries (France, Italy, Germany, Spain and Luxembourg) trust us to do just that. Our growth is guided by a clear approach: a global vision, grounded in a deep understanding of local specificities. Behind this ambition, a team of around 250 people, united around one goal: supporting lawyers and legal professionals at every stage of their work, from research to drafting. And we're just getting started. Context We are looking for a confirmed/senior Machine Learning Engineer to help us build the first legal AI platform. Join a squad dedicated to revolutionizing how legal professionals advise clients and businesses across France and Europe. A high-impact product squad responsible for secondary legal sources and private documents. These are complex challenges where you will also contribute to embedding GenAI at the core of our products.  You can find full details about our stack on GitHub https://github.com/DoctrineLegal/#our-tech-stack !   Note: Previous professional experience in law is not required, but a willingness to learn and develop expertise in understanding legal documents is important 🙂