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Machine Learning Position
17 hours ago
Company Overview
Instabox, now part of Instabee, is a Sweden-based tech company with a mission to simplify online shopping. Founded in 2015, we've grown significantly, expanding our reach across Europe. As we continue to grow, we need talented professionals like you to help us stay ahead.
The Route Optimization Team
Our team focuses on building, maintaining, and enhancing models and services that drive our core operations. We follow an end-to-end approach, from collecting and preprocessing data to developing and validating models, deploying them, and integrating them into our routing engine.
To succeed in this role, you'll:
- Develop and deploy high-quality models and services
- Lead feature development and refactoring efforts, ensuring efficient code
- Stay up-to-date with software development trends and experiment with new approaches
- Collaborate with algorithm engineers, machine learning engineers, and the broader tech team
- Advocate for best coding practices and inspire others to maintain high standards
Key Responsibilities
You'll be responsible for:
- Building and maintaining models and services
- Developing new features and refactoring existing code
- Staying at the forefront of software development trends
- Collaborating with the tech team to share ideas and support each other
Requirements and Qualifications
We're looking for a candidate with:
- 3+ years of experience as a Software Engineer or Machine Learning Engineer
- Strong programming skills in Python and Java, with experience in various databases
- Familiarity with Kubernetes, Helm, Docker, and other DevOps tools
- Experience in building and deploying machine learning models
Benefits
At Instabox, you'll enjoy:
- A modern and newly renovated office with great views of Stockholm
- A puppy-friendly environment where you can bring your dog to work
- Rooftop Fridays with a bar and great views
- Wednesdays Tech Breakfasts with tech talks and snacks
- Modern technology stack and opportunities for growth
- Flexible working hours and a hybrid setup
- A focus on diversity and inclusion
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