Senior Machine Learning Engineer, Sardine
CA$130-200k
Plus equity
Fraud prevention and compliance infrastructure
Open for applications
Fraud prevention and compliance infrastructure
101-200 employees
Open for applications
CA$130-200k
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
- 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
What the job involves
- 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
- 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
Otta's take
Theo Margolius
COO of Otta
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 was founded by an impressive combination of ex-Revolut, Coinbase, Paypal and Uber stars. These credentials have enabled the company to amass considerable funding since its launch. 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.
Sardine 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 such as Fortress and Incode. Onboarding these institutions and scaling its customer base at pace will ensure that Sardine maintains its frontrunner position.
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
Founders
Soups Ranjan
(CEO)Previously worked as Director of Data Science & Risk at Coinbase, and was Head of Crypto at Revolut.
Zahid Shaikh
(Head of Product)Previously worked as a Senior Product Manager at both PayPal and Uber, and was Senior Product Owner at Revolut.
Share this job
View 5 more jobs at Sardine