Machine Learning Engineer, DataVisor

Fraud Detection

Salary not provided

Plus equity participation

Java

C++

Hadoop

Spark

MapReduce

Junior and Mid level

San Francisco Bay Area

Fraud & AML detection platform

Job no longer available

Fraud & AML detection platform

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Job no longer available

Salary not provided

Plus equity participation

Java

C++

Hadoop

Spark

MapReduce

Junior and Mid level

San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Company mission

To build and restore trust online.

Job

Company

Role

Who you are

2+ years experience with Java/C++
Familiar with common data structures and algorithms. Be able to write efficient and optimized computer programs
1+ years experience with web backend or Hadoop/MapReduce/Spark

Desirable

1+ years experience with machine learning/data science preferred
Anti-fraud modeling in financial industry a plus
Bachelor degree required, Master/PhD degree preferred

What the job involves

The modeling / data science team holds the secret sauce of DataVisor. We run our advanced core unsupervised analytics engine and machine learning models on hundreds of billions of events from hundreds of millions of users
We are a mix of machine learning engineers and inquisitive data scientists
We love finding beautiful patterns in big data to catch and prevent malicious attacks against good users
We're also not afraid to get our hands dirty; we get deep satisfaction coming up with and implementing new ideas for improvements to our detection engine
If you have a knack for wrangling big data, are excited by the idea of being part of new technological frontiers, and want to work on a team that impacts the company's bottom line, we'd love to talk to you

Our take

As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.

Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.

Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.

DataVisor has seen considerable investment that has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Glassdoor (4.4)

Company

Funding (last 2 of 3 rounds)

Dec 2022

$40m

LATE VC

Feb 2018

$40m

SERIES C

Total funding: $94.5m

Company benefits

Stock Options
Commuter Passes
Paid Time Off
Catered Lunch and Dinner
Team and Company Outings

Company HQ

Mountain View, CA

Leadership

Yinglian Xie

(CEO & Co-founder)

Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.

Fang Yu

(CPO & Co-founder)

Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.

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