Senior/Staff Machine Learning Engineer, Sardine
$170-200k
Plus equity
Fraud prevention & compliance infrastructure
Open for applications
Fraud prevention & compliance infrastructure
101-200 employees
Open for applications
$170-200k
Plus equity
101-200 employees
Company mission
To remove the friction and risks associated with high velocity money movement, from banks and cards through to digital wallets and crypto.
Role
Who you are
- 7+ years of hands-on experience in Machine Learning or related roles
- Significant experience in Fraud, Risk, Compliance, Payments, or FinTech domains is essential
- Proven ability to work independently and take initiative in a fast-paced startup environment
- Proficiency in Python and SQL, with backend development experience
- A degree in computer science, machine learning, statistics, or a related field
- Strong problem-solving skills with a track record of delivering high-quality results
- Excellent communication skills to convey technical concepts to non-technical stakeholders
- Experience with data warehousing, ETL tools, and machine learning lifecycle management
- Familiarity with cloud platforms like GCP, AWS, Azure, Kubernetes, or Docker
- A proven track record of collaboration with data scientists to build, deploy, and refine models
What the job involves
- As a Machine Learning Engineer, you will be integral to designing, developing, and implementing cutting-edge machine learning solutions to mitigate fraud and risk, ensuring optimal outcomes for both Sardine and our clients
- Collaborating closely with cross-functional teams, you will contribute to the development of robust machine-learning infrastructure and feature engineering capabilities
- Design, develop, and implement machine learning models and algorithms, integrating them into the overall system
- Enhance backend systems for feature processing and model serving, optimizing efficiency and reliability
- Own strategic initiatives, translating high-level objectives into actionable machine-learning solutions
- Engage with large-scale data sets and data pipelines to extract meaningful insights
- Establish ML observability to ensure models perform reliably in production
- Build scalable machine learning infrastructure using tools like Vertex AI, Apache Beam, and Kubeflow
- Develop systems and libraries to streamline integration
- Conduct experiments and assess model performance to optimize outcomes
- Mentor junior team members, fostering a collaborative environment
- Collaborate with data scientists, software engineers, and product managers to identify challenges and enhance machine learning models
Our take
Identity and payment fraud is one of the biggest dangers facing online businesses. Sardine is setting out to solve this problem by building the first zero-day fraud prevention technology.
Sardine's technology traces intrinsic behaviour patterns to identify so-called "bad actors" online, and detects fraudsters using machine-learned fraud scores and user behavior biometrics.
The company calls itself the world's first FaaS (Fraud Detection as a Service), and its solutions are already drawing business from next-gen crypto and financial service institutions. Onboarding these institutions and scaling its customer base at pace will ensure that Sardine maintains its frontrunner position.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2022
$51.5m
SERIES B
Feb 2022
$19.5m
SERIES A
Total funding: $75.6m
Company benefits
- Generous equity compensation
- Work from anywhere: Remote-first Culture
- Unlimited paid time off and minimum 2 weeks/year of mandatory vacation
- 100% of health insurance, dental, and vision coverage for employees and 50% for dependents
- 4% matching in 401k
- Company-wide offsites, the last one was at Miami
- MacBook Pro delivered to your door
- One-time stipend to set up a home office — desk, monitors, etc
- Monthly meal stipend
- Annual fitness allowance
- Unlimited access to an expert financial advisory
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Soups Ranjan
(Co-Founder & CEO)Previously worked as Director of Data Science & Risk at Coinbase, and was Head of Crypto at Revolut.
Zahid Shaikh
(Co-Founder & Head of Product)Previously worked as a Senior Product Manager at both PayPal and Uber, and was Senior Product Owner at Revolut.
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