This job is now closed
Job Description
- Req#: 3cfd549a-d80a-4921-9ab1-a84cb721e3df
We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere
We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
To be considered for this position, you must reside in one of the following cities:
São Paulo: São Paulo, Campinas, São José dos Campos
Rio de Janeiro: Rio de Janeiro
Minas Gerais: Belo Horizonte
Paraná: Curitiba
Santa Catarina: Florianópolis
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.
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.
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.
Generous compensation in cash and equity
Early exercise for all options, including pre-vested
Work from anywhere: Remote-first Culture
Flexible paid time off and Year-end break
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
Who we are:
We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.
Our culture:
Location: Remote - Brazil
About The Role
As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll 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 You’ll Do
What You Bring
Bonus Points
Benefits we offer:
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 .
About the company
Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.
Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.
An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.