**Who we are:**

We are a leader in financial crime prevention. Using unparalleled device intelligence and behavior biometrics, we apply machine learning to detect and stop fraud before it happens. The platform includes tools for identity verification, fraud prevention and investigation, AML monitoring, and case management. Over 250 companies use Sardine to prevent fake account creation, social engineering scams, account takeovers, bot attacks, payment fraud, and money laundering. We raised $75M, led by Andreessen Horowitz Growth, XYZ Capital, Google Ventures, Visa, Activant Capital, Experian, and ING Ventures.

**Our culture:**

- We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we have a remote-first work culture. #WorkFromAnywhere
- We hire talented, self-motivated people and get out of their way
- We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

**Location:**

- Remote - Canada or United States
- 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, you will play a pivotal role in designing, developing, and implementing cutting-edge machine learning solutions to mitigate fraud and risk, ensuring optimal outcomes for both our company and clients. Collaborating closely with cross-functional teams, you will contribute to the development of robust machine-learning infrastructure and feature engineering capabilities.

**You will:**

- Design, develop, and implement machine learning models and algorithms utilizing Python and SQL.
- Enhance backend systems for feature processing and model serving, optimizing efficiency and reliability.
- Engage with large-scale data sets, data pipelines, and data warehousing tools to extract meaningful insights.
- Collaborate with data scientists, software engineers, data analysts, account managers, and product managers to identify business challenges, devise solutions, and iteratively enhance machine learning models.
- Establish and fortify ML observability to ensure machine learning models' steadfast performance and reliability in production.
- Build scalable and efficient machine learning infrastructure utilizing advanced tools such as Vertex AI, Apache Beam, and Kubeflow.
- Develop software systems and libraries to bolster machine learning applications and streamline integration.
- Conduct experiments, execute statistical analyses, and assess model performance to optimize accuracy, reliability, and speed.

**An ideal candidate has:**

- 5+ years of hands-on experience in Machine Learning or related roles within Fraud, Risk, Compliance, Payments, or FinTech domains.
- Extensive knowledge and educational background in computer science, machine learning, and statistics.
- Strong programming proficiency in Python and SQL, coupled with hands-on experience in backend development.
- Proficiency in data warehousing, data pipelines, and ETL tools, with a proven track record of managing the machine learning lifecycle.
- Experience with cloud computing platforms such as GCP, AWS, or Azure.
- Familiarity with Kubernetes or Docker for efficient containerization.
- Proven track record of collaboration with data scientists to build, deploy, and refine machine learning models.
- Prior experience in building ML observability to uphold the performance and reliability of machine learning models in production.

Senior Machine Learning Engineer

**Who we are:**

We are a leader in financial crime prevention. Using unparalleled device intelligence and behavior biometrics, we apply machine learning to detect and stop fraud before it happens. The platform includes tools for identity verification, fraud prevention and investigation, AML monitoring, and case management. Over 250 companies use Sardine to prevent fake account creation, social engineering scams, account takeovers, bot attacks, payment fraud, and money laundering. We raised $75M, led by Andreessen Horowitz Growth, XYZ Capital, Google Ventures, Visa, Activant Capital, Experian, and ING Ventures.

**Our culture:**

- We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we have a remote-first work culture. #WorkFromAnywhere
- We hire talented, self-motivated people and get out of their way
- We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

**Location:**

- Remote - Brazil or Argentina
- 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 backend-focused Software Engineer, you will play a pivotal role in designing, constructing, and maintaining APIs, services, and systems across our engineering team. This multifaceted position involves developing new features on a large scale, refining internal tooling and processes, contributing to product and technical roadmaps, and assuming diverse responsibilities within the organization. The ideal candidate for the backend role will have a proven track record in building highly available APIs, with additional proficiency in data pipelines and the relevant domain.

**You will:**

- Design, create, and maintain robust, efficient, and reliable backend services to meet our platform's evolving needs.
- Collaborate closely with business stakeholders to architect and implement new services from inception to delivery.
- Contribute to developing new features and capabilities that deliver substantial value to our customers.
- Work with various engineering and product teams to synchronize efforts and deliver cutting-edge solutions.
- Craft and maintain user-facing technical documentation, enhancing user understanding and facilitating seamless adoption of our services.
- Play a pivotal role in shaping our company's engineering culture, ensuring the maintenance of high engineering standards across the organization.

**An ideal candidate has:**

- A minimum of 4+ years of proven experience as a Software Engineer specializing in web backend development.
- Proficiency in Golang is a significant advantage.
- Additional experience in data engineering is highly desirable.
- A track record of successfully delivering high-quality production services and systems.
- Customer-centric approach with a strong emphasis on empathy towards users.
- Relevant industry experience, particularly in banking or fintech, and domain knowledge in fraud prevention or compliance.

Software Engineer - Backend

**Who we are:**

We are a leader in financial crime prevention. Using unparalleled device intelligence and behavior biometrics, we apply machine learning to detect and stop fraud before it happens. The platform includes tools for identity verification, fraud prevention and investigation, AML monitoring, and case management. Over 250 companies use Sardine to prevent fake account creation, social engineering scams, account takeovers, bot attacks, payment fraud, and money laundering. We raised $75M, led by Andreessen Horowitz Growth, XYZ Capital, Google Ventures, Visa, Activant Capital, Experian, and ING Ventures.

**Our culture:**

- We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we have a remote-first work culture. #WorkFromAnywhere
- We hire talented, self-motivated people and get out of their way
- We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

**Location:**

- Remote - Brazil or Argentina
- 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:**

We're a growing company looking for a Junior UI Designer to join our team and help us design a user-centric SaaS dashboard to prevent fraud. You'll closely work with designers, product managers, and engineers to create a visually compelling and informative experience for our users.

**You will:**

- Design user-centered solutions for our SaaS dashboard
- Collaborate on the design process, ensuring the dashboard is intuitive, efficient, and data-driven
- Work with product and engineering teams to define and execute product requirements
- Present design ideas and iterate based on feedback from stakeholders and user testing
- Ask numerous questions to learn and gain design experience.

**An ideal candidate has:**

- 2+ years of experience (or strong portfolio) with a **focus on user interface (UI)**
- Proficiency in **Figma**, with expertise in **Auto Layout, Components, and Variants**
- **User-centered design principles** with a strong understanding of **data visualization** best practices
- Proficiency in **design systems** and their application to create a consistent and scalable dashboard experience

**Bonus Points for:**

- Experience designing for SaaS products or dashboards
- UI/UX best practices for data visualization
- UX Research principles

UI Designer

Sardine

Sardine is a leader in financial crime prevention. Using proprietary device intelligence and behavior biometrics, Sardine applies machine learning to detect and stop fraud before it happens. The platform includes tools for identity verification, fraud prevention and investigation, AML monitoring, and case management. Over 250 companies use Sardine to prevent fake account creation, social engineering scams, account takeovers, bot attacks, payment fraud, and money laundering. For more information, visit www.sardine.ai.

Sardine

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