- Design, develop, and deploy machine learning models using Python and SQL
- Optimize backend systems for improved efficiency and reliability
- Analyze large-scale datasets to derive valuable insights
- Collaborate with a range of professionals to identify and address business challenges
- Enhance ML observability for model performance and reliability
- Build scalable machine learning infrastructure using advanced tools
- Conduct experiments and statistical analyses to refine model performance
- 5+ years of experience in Machine Learning or related roles
- Strong proficiency in Python, SQL, and backend development
- Industry expertise in Fraud, Risk, Compliance, Payments, or FinTech
- Familiarity with cloud platforms like GCP, AWS, or Azure
- Experience with Kubernetes or Docker for containerization
- Proven track record of collaboration with data scientists
- Prior work in ML observability to ensure model performance
- Generous cash and equity compensation
- 100% health coverage for employees, 60% for dependents
- Flexible work arrangements and paid time off
- Company-wide benefits and stipends for various needs
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Machine Learning Engineer - Canada - Sardine
Description
About the Company:
Sardine has developed an innovative platform focused on fraud prevention, regulatory compliance, and instant payments. With a talented team of experienced professionals from top companies like PayPal, Zelle, and Revolut, Sardine now serves over 200 global clients. The company has successfully secured $75M in funding from leading investors including Andreessen Horowitz Growth and Google Ventures.
Our Working Environment:
At Sardine, we operate from hubs in various cities but embrace a remote-first culture. We believe in empowering our employees to work efficiently and effectively without unnecessary constraints. Our focus is on results rather than hours clocked in.
About the Role:
As a Machine Learning Engineer at Sardine, your primary responsibility will involve designing and implementing state-of-the-art machine learning solutions to combat fraud and risk, delivering optimal outcomes for both the company and its clients. You will collaborate closely with diverse teams to enhance machine learning infrastructure and feature engineering capabilities.
Requirements for the Role:
For this position, we are looking for candidates with:
Compensation Package:
For this role, we offer a base pay ranging from $120,000 to $160,000, Series B equity with significant potential, and attractive benefits including health coverage, 401k matching, and more.
If you are looking to join a dynamic team of professionals at the forefront of technology and innovation, this opportunity at Sardine is perfect for you!
