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À propos
Location Remote United States or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote?first company with a globally distributed team. You can find your productive zone and work from there.
About The Role As a Machine Learning Engineer, youll do more than build models youll design the systems that make fraud detection possible. Youll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large?scale systems engineering, owning end?to?end solutions that tackle high?stakes, ever?evolving challenges. What Youll Do Build and optimize data pipelines and backend services to process device and behavioral data in real time. Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. Turn raw data into production?ready features that feed our fraud detection systems. Collaborate with platform and backend engineers to integrate models seamlessly. Maintain high standards of security, privacy, and compliance. Champion best practices in testing, documentation, and observability.
What You Bring 5+ years in software engineering, with strong backend experience (Go or Python). Hands?on experience with applied ML using large datasets (PyTorch, Scikit?learn, etc.). Strong SQL skills and familiarity with relational and non?relational databases. Experience with end?to?end ML systems: feature pipelines, model deployment, monitoring, and iteration. Excellent communication skills in English, both written and verbal. Bachelors or Masters in Computer Science, Engineering, or a related discipline.
Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high?entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation.
Compensation:
Base pay range of $170,000 $200,000 USD / $197,000 $270,000 CAD + equity with tremendous upside potential + Attractive benefits Benefits We Offer Generous compensation in cash and equity Early exercise for all options, including pre?vested Work from anywhere: Remote?first Culture Flexible paid time off, Year?end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents US and Canada specific 4% matching in 401k / RRSP US and Canada specific MacBook Pro delivered to your door One?time stipend to set up a home office desk, chair, screen, etc. Monthly meal stipend Monthly social meet?up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory
Join a fast?growing company with world?class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice. Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Engineering and Information Technology #J-18808-Ljbffr
Compétences idéales
- Docker
- Go
- Kubernetes
- PyTorch
- Python
- SQL
- Scikit-learn
Expérience professionnelle
- Backend
- Data Engineer
- Machine Learning
Compétences linguistiques
- English
Avis aux utilisateurs
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