Staff Machine Learning Engineer (AI Product Lab)

Smartly.io; Berlin; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative firm is seeking a Staff Machine Learning Engineer to join their AI Product Lab Team. This role involves building impactful ML-based solutions that enhance advertising experiences. You'll work with diverse datasets and collaborate with talented engineers to productionize AI applications. The ideal candidate is passionate about machine learning, has extensive experience in software development, and excels in mentoring others. Join a dynamic team that values growth and creativity, and make a significant impact in the advertising technology space.

Leistungen

Generous healthcare packages

Mental health services

Paid holidays

Family leave

Equity options

Performance-based rewards

Career development opportunities

Flexible work abroad for up to 30 days

Qualifikationen

• 8+ years in software development and ML deployment.
• Experience in mentoring engineers and managing technical direction.

Aufgaben

• Build ML-based software systems for effective advertising.
• Drive technical architecture and mentor ML engineering talent.

Kenntnisse

Machine Learning

Python

Cloud Infrastructure (AWS/GCP)

MLOps

C++

Java

PyTorch

TensorFlow

Data Processing

Feature Engineering

Ausbildung

M.Sc. in a relevant field

Tools

MLflow

Kubeflow

Jobbeschreibung

Berlin

We are looking for a Staff Machine Learning Engineer to join the AI Product Lab 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 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 Staff Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns.
• Drive the longer-term technical architecture evolution of your domain.
• Be a role model for technical excellence in your field inside Smartly.
• Coach, mentor and train our ML Engineering talent.
• 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.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly.
• Work with our stakeholders - be they 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:

• 8+ years of experience developing and deploying production-quality software.
• 5+ years of experience delivering software services powered by machine learning.
• 4+ years of experience working with cloud infrastructure such as AWS or GCP.
• Fluent in Python; experience with C++ or Java is a plus.
• Demonstrated experience managing the technical direction of a software system.
• Experience in coaching and mentoring senior engineers.
• 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!

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.