Full-Time

Associate Machine Learning Engineer

Posted on 3/14/2025

Socure

Socure

201-500 employees

Digital identity verification and fraud prevention

Compensation Overview

$115k - $135k/yr

+ Equity + Comprehensive Benefits + Performance Bonus

Entry, Junior

Remote in USA

Candidates must be based in the USA.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Scikit-learn
Microsoft Azure
Redshift
Python
NoSQL
Tensorflow
Git
Data Structures & Algorithms
Pytorch
SQL
Machine Learning
AWS
Snowflake
Google Cloud Platform
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field from a top university.
  • Strong academic record with a high GPA and/or with strong fundamentals in computer science and AI.
  • 1-2 years of industry or coop/internship experience
  • Solid programming skills in Python
  • Exposure/experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms such as AWS(preferred), GCP, or Azure
  • Understanding of MLOps practices, version control (Git), and model deployment techniques.
  • Exposure/experience with workflow orchestration tools like Apache Airflow or AWS Step Functions for ML pipeline automation.
  • Strong fundamentals in data structures, algorithms, and distributed computing principles.
  • Exposure/experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift).
  • Strong analytical and problem-solving skills, with a passion for AI and machine learning.
Responsibilities
  • Develop and optimize feature engineering strategies to support ML models.
  • Build and maintain scalable ML systems for model training, inference, and deployment.
  • Design and implement end-to-end ML pipelines, including data preprocessing, model training, and evaluation.
  • Collaborate with data scientists, software engineers, and product teams to enhance ML capabilities.
  • Implement best practices in version control, MLOps, and model reproducibility.
  • Work with cloud-based infrastructure to deploy and manage ML models efficiently.
  • Leverage workflow orchestration tools like Apache Airflow and AWS Step Functions to automate and manage ML pipelines.
  • Contribute to research and development efforts to enhance our AI capabilities.
Desired Qualifications
  • Exposure/experience with feature engineering and feature stores.
  • Exposure/experience with big data technologies (Apache Spark, Kafka).
  • Exposure/experience with CI/CD pipelines for ML applications.
  • Exposure/experience with model monitoring and observability tools
  • Exposure/experience with Generative AI (GenAI) techniques, including LLM fine-tuning, prompt engineering, and model deployment
  • Strong communication skills and ability to work in a collaborative environment.
  • A strong sense of continuous learning mindset and humility with a willingness to seek feedback and improve.

Socure focuses on digital identity verification and fraud prevention for financial institutions like banks and credit unions. It uses machine learning and advanced algorithms to analyze customer data, helping clients quickly verify identities and reduce fraud risk. One of its main products, the Sigma Fraud Score, detects fraud by comparing transactions against a database of known fraudulent users. Socure operates on a subscription model, providing continuous access to its tools while assisting clients in meeting regulatory requirements.

Company Size

201-500

Company Stage

Debt Financing

Total Funding

$744.1M

Headquarters

New York City, New York

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Socure's subscription model ensures a steady revenue stream and continuous service updates.
  • The launch of AI Copilot attracts clients seeking advanced AI-driven compliance solutions.
  • Strategic executive hires indicate a strong focus on innovation and market alignment.

What critics are saying

  • AI-powered scams using deepfakes challenge Socure's digital verification systems.
  • The evolution of BEC attacks requires continuous adaptation of fraud prevention strategies.
  • First-party fraud is harder to detect, posing a significant challenge to Socure.

What makes Socure unique

  • Socure's Sigma Fraud Score is renowned for its accuracy in detecting fraud.
  • The Identity Manipulation Risk Score is a pioneering tool against first-party fraud.
  • Socure's AI Copilot enhances global watchlist screening and monitoring capabilities.

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Benefits

Competitive salary & equity

Comprehensive medical, dental, & vision coverage

FSA

Parental leave

401k

Life insurance

PTO

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

0%

2 year growth

1%
PYMNTS
Mar 6th, 2025
Socure Introduces New Risk Score To Combat Repeat First-Party Fraud

Socure has introduced a new tool designed to combat repeat first-party fraud. The new Identity Manipulation Risk Score, which is now embedded within Sigma First-Party Fraud, uses artificial intelligence (AI) and real-time data from Socure’s fraud intelligence network to help organizations detect bad actors at account opening and throughout the customer lifecycle, the company said in a Thursday (March 6) press release. “Identity manipulation is at the core of predicting first-party fraud, as most fraud prevention solutions fail to detect it,” Ori Snir, head of product management, fraud and identity solutions at Socure, said in the release

FF News
Mar 6th, 2025
Socure Introduces First-Ever Identity Manipulation Risk Score For First-Party Fraud

Socure, the leading AI-driven platform for digital identity verification, fraud prevention, and sanctions screening, today announced the launch of its Identity Manipulation Risk Score, the first-ever cross-industry predictive risk score designed to stop repeat first-party fraud abusers from exploiting the digital economy at scale.This AI-powered capability is embedded within Sigma First-Party Fraud, Socure’s innovative solution that leverages the largest cross-industry first-party fraud consortium to perform real-time analysis of dispute histories, payment denials, and account closures across millions of identities and billions of transactions. Socure’s first-party fraud consortium spans major financial institutions, fintechs, payment platforms, sports betting companies and merchants providing an unmatched network of fraud intelligence from diverse sectors. Sigma First-Party Fraud provides organizations with critical risk signals, real-time risk monitoring and actionable intelligence to detect bad-faith actors at account opening and throughout the entire customer lifecycle.A Breakthrough in First-Party Fraud PreventionFirst-party fraud, or the use of one’s own identity to open an account and commit a dishonest act for personal or financial gain, is costing businesses over $100 billion annually. Unlike third-party fraud, which involves stolen or synthetic identities, first-party fraudsters exploit their real, verified credentials, making it far more difficult to detect. What’s worse, in a recent survey Socure found that nearly half (49%) of those who committed first-party fraud in 2024 said they did so because they got away with it in 2023, proving that repeat abuse is a growing problem without a deterrent.With the introduction of the Identity Manipulation Risk Score, organizations can now leverage Socure’s Sigma First-Party Fraud solution to quantify the likelihood of identity manipulation at critical decision points, including account opening, high-risk transactions, and dispute resolution. Identity manipulation behaviors include consumers applying for services with different emails or phone numbers to exploit multiple organizations using their own true identity

FF News
Mar 6th, 2025
Socure Introduces First-Ever Identity Manipulation Risk Score for First-Party Fraud

Socure, the leading AI-driven platform for digital identity verification, fraud prevention, and sanctions screening, today announced the launch of its Identity Manipulation Risk Score, the first-ever cross-industry predictive risk score designed to stop repeat first-party fraud abusers from exploiting the digital economy at scale.

Neuron
Mar 3rd, 2025
Socure Launches AI-Powered Assistant for Global Watchlist Screening

Socure has launched an innovative AI assistant that enhances its Global Watchlist Screening and Monitoring solution, revolutionizing digital identity verification.

PYMNTS
Mar 2nd, 2025
Scammers Tap Social Media Selfies And Genai To Fuel Fraud

The wide availability of selfies on social media has helped fuel artificial intelligence (AI)-powered scams. Speaking to Bloomberg News on Friday (Feb. 28), Center for Strategic International Studies researcher Julia Dickson said cybercriminals are stealing profile pictures and personally identifiable information or purchasing it from underground marketplaces. From there, scammers use the data to craft deepfakes that let them get around digital verification systems and know-your-customer (KYC) measures

INACTIVE