Associate Machine Learning Engineer, Socure
$115-135k
Plus equity
Digital ID verification & fraud protection
Open for applications
Digital ID verification & fraud protection
201-500 employees
Open for applications
$115-135k
Plus equity
201-500 employees
Company mission
To verify 100% of good identities in real-time and completely eliminate identity fraud on the internet.
Role
Who you are
- This role is ideal for recent graduates from top universities who have demonstrated strong academic performance and hands-on experience with machine learning projects
- 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
Desirable
- 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
What the job involves
- We are looking for highly motivated and talented Associate Machine learning Engineers to join our growing AI Platform team
- You will have the opportunity to work on cutting-edge ML infrastructure, model development, and deployment at scale, collaborating with a dynamic team of engineers and data scientists
- 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
Application process
- End Date: November 30, 2024
Our take
Socure is an identity platform that aims to improve customer identification for digital transactions. The company is part of a growing market, with rivals in this competitive space including Signifyd, Riskified, AppsFlyer, ClearSale, Kount, SEON, and Fraud Fighters.
The engine delivered by Socure encompasses KYC (Know Your Customer), identity fraud detection, and document verification. With it, companies can scale rapidly by onboarding more good customers, and prevent online fraud. In addition, underbanked consumers who have been excluded from online services by outdated ID verification can gain access to critical benefits and services online.
Socure has rapidly escalated in popularity, and reached a valuation well over $1 billion. Though not immune from the economic downturn of late, which resulted in two high-profile rounds of lay-offs, the company has secured considerable additional funds that will strengthen its financial position as it moves to capitalize on the ever-growing importance of identity verification and trust.
Steph
Company Specialist at Welcome to the Jungle
Insights
-22% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Nov 2021
$450m
SERIES E
Mar 2021
$100m
SERIES D
Total funding: $646.6m
Company benefits
- Health: Comprehensive medical coverage, including vision, dental, and FSA
- Parental Leave: Generous leave allowance for parents-to-be
- 401k: Pre-tax savings for retirement
- Life Insurance: Protect your family in case of emergency
- PTO: Take as much time as you need, when you need it
- 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
- WFH Allowance: Generous reimbursement program to maximize your WFH setup
- Deskpass: Work in an office environment whenever you feel the need
- Mental Health Provider: Connect with clinicians when you need it
- Learning & Development: Self-education allowance & free career coaching
- Employee Assistance Program "EAP": Lifestyle resources available as well as additional mental health resources
- Fertility Provider: Family planning solutions for those interested
- Personal Legal Support: Significant discounts with RocketLawyer
Company HQ
Incline Village, NV
Leadership
Johnny Ayers
(CEO)Founder & General Partner of Switch Hit Ventures. Having been a Senior Consultant at IBM, they became COO and Board Member of Endeavor Up. Since then, was an Advisor at Pager and later founded Socure in 2012.
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