Are you an AI aficionado with a passion for building models that make a real-world impact? Do you dream in Python and get excited by large, clean datasets? Forget needing 100 years of experience, we're looking for a brilliant Machine Learning Engineer ready for a new adventure at a fast-paced, mission-driven startup! If you love tackling complex problems & working with real-world datasets, owning the ML lifecycle, and working with a unique, energetic team, keep reading!
CurveCatch is a Belgian venture-backed startup revolutionising the way people shop for intimate apparel. We’re a bra shopping companion that plugs into any intimate apparel webshop and uses AI to help shoppers find the perfect bra. We help shoppers with style, shape and size and reduce the number of decisions and clicks they have to make. This way we fast-track them to conversion to grow webshop revenue and shopper delight. We operate on a SaaS business model.
Before launching as a SaaS, we were our own first customer with our home-try-on e-commerce service. It’s a 7-figure profitable business that allows us to be very close to end-users.
We started from the local specialty shops of founder Kimia’s parents during Covid. Since then, we’re a team of 5 and have raised just under €1 million in pre-seed funding from strategic angels, accelerator XX in San Francisco, an innovation grant, and a grant from Y Combinator.
As our Machine Learning Engineer, you'll be pivotal in developing and deploying the AI that powers CurveCatch's personalization magic. You'll work across the ML lifecycle to deliver impactful models and shape our AI strategy. Your responsibilities will likely include:
* Designing, developing, training, and deploying machine learning/deep learning (DL) models to enhance product personalization (style, shape, size) and recommendation systems.
* Researching and implementing novel ML and/or deep learning techniques and algorithms suitable for our unique lingerie domain datasets.
* Managing and improving the end-to-end ML workflow, including data preparation, feature engineering, model training, validation, deployment, and monitoring in production.
* Optimizing ML/DL models and infrastructure for performance, scalability, and cost-effectiveness (leveraging tools like AWS Sagemaker, Metaflow, W&B and making smart use of cloud credits).
* Collaborating closely with the CTO (Nils) on the AI/R&D roadmap, data strategy, and continuous improvement of our MLOps processes and lean ML toolstack (DBT, Snowflake, Metaflow, AWS Sagemaker, PyTorch, Metabase, Hex, W&B, etc.).
* Working with our full-stack engineer (Denis) on infrastructure decisions impacting data and AI systems.
* Providing input on product features related to ML/DL models and data collection, championing data quality ("garbage in, garbage out").
* Actively seeking and implementing ways to automate and streamline ML/DL processes to maximize time spent on ML/DL modelling itself and impact.
Your work is core to our product's unique value. You will directly accelerate the development and release of our foundational AI models, making our service significantly more compelling through deeper personalization and accuracy. Without you, our AI development would be slower, limiting the product features and value we can offer to our customers. Your contributions will directly impact business outcomes by optimizing revenue through better recommendations or reducing costs through automation, ensuring CurveCatch stays at the forefront of AI in this domain.
We believe in a transparent process and value your time. Here’s what you can generally expect:
* Application Review: We carefully review your application and aim to reply within one week.
* Intro Call (30 mins): A brief virtual chat with Lore (HR Manager) to get a first impression and discuss basics like salary expectations.
* Technical background interview (45 mins): A meeting with your future manager to ensure technical competencies match, initial alignment and fit.
* Take-Home Assignment + debrief meeting (2 hours): We’ll send you a practical assignment relevant to the role's core skills for you to complete at your convenience.
* Team Fit Interviews (2 hours, In-Person): If the assignment went well, we'll invite you for the final interview stage. This involves meeting key team members and having a more extensive conversation with your manager. This 2-hour session takes place in person, typically at our Antwerp co-working space.
* Final Offer: If it's a great match on both sides, we'll extend an offer!
We'll keep you informed of your status throughout the process, and our goal is to move through all steps within a maximum of 4 weeks.
Competitive salary package.
Stock options? Heck yeah, we're building CurveCatch together!
Work from anywhere (within a 3-hour timezone difference from Belgium). We value connection, so we huddle together 1 day per week in our co-working space in Antwerp (typically Thursdays).
Adventurous team getaways 1x per quarter (expect the unexpected!).
Personal development plan and budget/coaching opportunities.
A super cool, supportive, and mission-driven team applying AI to a unique domain!
The chance to genuinely support the lives and confidence of half the population (not a bad stat to tell your family in law at Christmas, right?).
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Apparel & Fashion
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