Sardine Logo

Sardine

Machine Learning Engineer

Posted 5 Days Ago
Remote
3 Locations
Senior level
Remote
3 Locations
Senior level
Lead the development of device identification systems using Go and machine learning techniques. Collaborate with teams to optimize data collection and improve accuracy.
The summary above was generated by AI

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:

  • 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.

Location:

  • Remote - United States or Canada

  • 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 are seeking a highly skilled Machine Learning Engineer to lead the development of our device identification and fingerprinting systems. In this role, you will work closely with cross-functional teams to collect and process high-entropy signals from our frontend SDKs, enhance our backend systems, and improve the accuracy and reliability of our device fingerprinting methods.

What you'll be doing:

  • Backend Development: Design, develop, and maintain backend services using Go (Golang) to process and analyze device data.

  • Data Collection Optimization: Collaborate with frontend engineers to refine data collection methodologies using JavaScript and modern browser technologies.

  • Device Fingerprinting: Implement and improve algorithms for device identification using high-entropy signals and probabilistic matching techniques.

  • Data Analysis: Handle large datasets to extract insights and improve matching accuracy.

  • Browser and Technology Monitoring: Stay up-to-date with changes in browser behaviors, APIs, and security features that may impact data collection and fingerprinting methods.

  • Machine Learning Integration: Apply machine learning models where appropriate to enhance device recognition and handle uncertainty.

  • Security and Compliance: Ensure all systems and processes comply with relevant privacy laws and industry best practices.

  • Performance Optimization: Identify bottlenecks and optimize system performance for scalability and reliability.

  • Documentation and Mentorship: Document system designs and processes. Mentor junior team members and promote best practices within the team.

What you'll bring:

  • Minimum of 5 years of professional software engineering experience.

  • At least 3 years of experience in backend development, preferably with Go or a similar language.

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • Proficiency in Go (Golang) or strong experience in another backend language with a willingness to learn Go.

  • Experience with data processing frameworks and handling large-scale datasets.

  • Experience with machine learning techniques, statistical analysis, or probabilistic modeling to improve device identification reliability and accuracy. Familiarity with Python-based data science tools and libraries (e.g., NumPy, pandas, scikit-learn) is a plus.

  • Familiarity with relational and non-relational databases.

  • Strong problem-solving abilities and analytical thinking.

  • Excellent communication skills, both written and verbal.

Preferred Qualifications:

  • Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention.

  • Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.

  • DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.

  • SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets.

  • Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting.

Compensation: Base pay range of $180,000 - $220,000 + equity with tremendous upside potential + Attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

Benefits we offer:

  • Generous compensation in cash and equity

  • Early exercise for all options, including pre-vested

  • Work from anywhere: Remote-first Culture

  • Flexible paid time off, Year-end break, Self care days off

  • 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

  • Unlimited access to an expert financial advisory

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.

Top Skills

Go,Golang,Javascript,Python,Numpy,Pandas,Scikit-Learn,Aws,Google Cloud,Azure,Docker,Kubernetes

Similar Jobs

50 Minutes Ago
Remote
Hybrid
USA
Mid level
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Machine Learning Engineer III, you'll build scalable ML systems, productionize research, optimize algorithms, and enhance cybersecurity efforts using advanced software engineering practices.
Top Skills: AirflowAWSDockerGCPJenkinsKubernetesMlflowPythonRaySparkTerraform
Yesterday
Remote
United States
Senior level
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead the development of AI-powered systems leveraging large language models for search relevance, conversational AI, and workflow automation, while collaborating with cross-functional teams and staying updated on AI innovations.
Top Skills: C/C++GoNumpyPandasPythonPyTorchScikit-Learn
10 Hours Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Develop and maintain machine learning models for advertising budget allocation and bidding systems, ensuring efficient ad spend and performance optimization.
Top Skills: AWSGoPysparkPythonPyTorch

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account