Machine Learning Engineer- Shaping the Future of Retail

About the Job:

Are you passionate about building the future of physical retail? At YQ App, we startup revolutionizing data-driven solutions for brick-and-mortar stores, we're empowering retailers to embrace digital innovation for smarter, more efficient, and sustainable operations—creating impactful, positive commerce experiences. Join our team of agile thinkers, tech creators, and change-makers to help build the future of retail.

As a Machine Learning Engineer, you’ll be building the neural system for the future of physical retail, enabling stores to “connect” with customers in fundamentally new and delightful ways. Think personalized experiences, and a seamless, intuitive shopping journey—all powered by our solutions.

Key Responsibilities:

• Develop, train, and deploy machine learning models for noisy sensor data, consumer behavior analysis, and predictive analytics.
• Develop data collection and preprocessing pipelines using Go, SQL and Python. Find creative ways to label training data and leverage unlabeled data.
• Deep dive into data communication protocols such as Bluetooth (BLE), Wi-Fi to gain valuable insight into network utilization.
• Get models ready for production by optimizing for performance, scalability and latency.
• Package and integrate predictive services into existing infrastructure
• Maintain model versioning, monitoring, and evaluation in production.
• Find new opportunities to improve
• Stay updated with the latest ML research and implement state-of-the-art algorithms.

Qualifications:

• Bachelor’s or master’s degree in computer science, Data Science, Electrical Engineering, Machine Learning, or a related field.
• 4+ years of professional experience developing and deploying machine learning solutions in production environments.
• Strong Python proficiency with clean, maintainable code.
• Solid grasp of ML algorithms (supervised/unsupervised), time-series modeling, and predictive analytics.
• Proven experience shipping end-to-end ML projects (data → deployment → validation).
• Familiarity with experiment tracking tools (MLflow, Weights & Biases) and reproducible workflows.
• Ability to analyse, summarize, and present complex experimental results clearly to technical and non-technical stakeholders.
• Excellent communication skills in English.
• Must already hold valid legal authorization to work in Austria.

Nice-to-Have:

• Experience with SQL-based data management and large-scale dataset curation.
• Experience working on spatial localization problems.
• Proficiency in Go.
• Familiarity with IoT systems, embedded development, and edge computing environments.
• Hands-on experience with wireless protocols (Bluetooth/BLE, Wi-Fi) and usage in embedded setting.
• Understanding of electromagnetic wave physics or signal propagation.
• Prior exposure to low-latency ML inference in production.

Skills/Abilities:

• Ownership Mindset: Self-driven and proactive—able to lead projects from concept to deployment with minimal supervision.
• Full-Lifecycle Expertise: Comfortable working across the entire ML pipeline—from data wrangling and feature engineering to model optimization and deployment. Ready to dive into the details when needed.
• Analytical Curiosity: Skilled at exploring complex, high-dimensional datasets to uncover patterns and drive insight-led innovation.
• Creative Problem-Solving: Stays informed on the latest advancements in ML and AI; able to propose novel, practical solutions tailored to retail challenges.
• Collaborative Spirit: Excels in cross-functional teams—works seamlessly with embedded developers, backend/frontend engineers and sales representatives to deliver integrated, high-impact solutions.
• Adaptability: Thrives in a fast-paced startup environment, where agility and continuous learning are at the core.

What We Look for at YQ App:

We don't just hire engineers; we build a team of obsessive problem-solvers. You’re driven by the desire to create exceptional products, aren't afraid to challenge the status quo, and thrive in a collaborative environment where every voice is valued. If you're someone who finds joy in tackling the most complex technical challenges and building solutions that matter, then you'll fit right in.

What's In It For You at YQ App?

At YQ App, we’re dedicated to creating an environment where you can thrive while driving innovation in physical retail through IoT solutions.

• Professional Growth: Tap into a flexible learning budget for books, courses, conferences, or certifications to fuel your growth in our dynamic startup environment.
• Work-Life Balance: Enjoy up to 30 days of "work from anywhere" annually, empowering you to work from wherever inspires you most. Recharge with 27 days of paid vacation to keep your creativity and energy at their peak.
• Smart Commuting: Get a complimentary public transport pass to make your commute seamless and eco-friendly. Our office is ideally situated with excellent public transportation access.
• Workplace Perks: Stay energized with unlimited access to high-quality coffee at our vibrant office.
• Performance-Driven Compensation: Begin with a competitive package starting at €60,000 gross annually, tailored to reflect your expertise and impact. Earn an annual bonus based on your individual contributions and YQ App’s success. Enjoy opportunities for salary growth tied to your performance and the company’s achievements.
• Equity Participation: Share in YQ App’s future success with stock options, aligning your goals with our mission to revolutionize retail.
• Inclusive Team: As an equal opportunity employer, we embrace diverse backgrounds and ideas, creating a collaborative space where everyone’s voice drives innovation.

Before You Apply to YQ App:

At YQ App, we’re a passionate startup dedicated to revolutionizing physical retail through innovative IoT and data-driven solutions. We thrive in a fast-paced, ambitious environment where we push ourselves and each other to achieve excellence. This creates incredible opportunities for learning, innovation, and career growth, but it also demands significant commitment and enthusiasm. If you’re excited about the role and ready to bring your absolute best to help shape the future of retail, we can’t wait to see your application!

How to Apply:

Apply via the following application link: https://forms.gle/ngyrp4EGqMh3A6429

We look forward to learning how you can contribute to our vision!