Staff Machine Learning Engineer (AI Platform)

RxREVU, Inc.; Berlin; Hybrid; EUR 100.000 - 125.000; Vollzeit

Zusammenfassung

A leading technology firm in Berlin is looking for a Staff Machine Learning Engineer to join their AI Platform Team. This role involves building ML-based systems, mentoring engineers, and driving technical architecture. Candidates should have over 8 years of experience in software development and a passion for ML. The company promotes an inclusive culture and offers competitive compensation, generous healthcare packages, and a hybrid work model, requiring presence in the office three days a week.

Leistungen

Generous healthcare packages

Performance-based rewards

Ample career development opportunities

Hybrid workplace model

Qualifikationen

• 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.
• Demonstrated experience managing the technical direction of a software system.
• Experience in feature engineering, model evaluation, and diagnostics.

Aufgaben

• Build ML-based software systems that enable users to craft great advertising experiences.
• Drive the longer term technical architecture evolution of your domain.
• Coach, mentor, and train ML Engineering talent.

Kenntnisse

Fluent in Python

8+ years of experience developing production-quality software

Experience with cloud infrastructure (AWS or GCP)

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)

Analytical mindset with a problem-solving approach

Strong written and verbal communication skills in English

Ausbildung

M.Sc. in a relevant field

Jobbeschreibung

We are looking for a Staff Machine Learning Engineer to join the AI PlatformTeam 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 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 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:

• 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!

#LI-JF2 #LI-Hybrid