Senior Machine Learning Engineer (AI Platform) at Smartly.io

Helsinki, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, MLOps, Data Processing, Cloud Infrastructure, Feature Engineering, Model Evaluation, Diagnostics, Monitoring, Linear Algebra, Statistics, Calculus, Problem Solving, Communication, Generative AI, Natural Language Processing

Industry

Advertising Services

Description

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: 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-JF2 #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.

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Responsibilities

As a Senior Machine Learning Engineer, you will build ML-based software systems that enhance advertising experiences and work with diverse datasets. You will also contribute to Smartly's MLOps and data platform, collaborating with engineers and data scientists to productionize AI/ML applications effectively.