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 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 worldwid
Benefits
Health insuranceVision insuranceRemote work optionsFlexible scheduleEquity / stock options
Additional Information
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.
Smartlyio · Berlin, Germany