Socure

Associate Machine Learning Engineer

Remote US
USD 115k - 135k
TensorFlow PyTorch GCP Kafka Git SQL Spark Machine Learning AWS Python Azure
Description

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.

Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.

Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:

https://www.youtube.com/watch?v=ifM9_jPQCv8

Overview
 

We are looking for highly motivated and talented Associate Machine learning Engineers to join our growing AI Platform team. This role is ideal for recent graduates from top universities who have demonstrated strong academic performance and hands-on experience with machine learning projects. 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.
 

If you have a strong foundation in machine learning, software engineering, and AI, and are eager to contribute to real-world applications, we encourage you to apply.
 

Role and 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.
     

Required Qualifications

  • 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.

Preferred 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

  • Salary Disclosure:

    Base Salary range: $115,000 - $135,000

    This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity,  comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. 

    Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.

Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.

We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.

To learn more, check out Socure’s Career Page: https://www.socure.com/company/careers

Socure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To learn more about how our work is changing the world, check out these articles and videos:

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

Socure
Socure
Artificial Intelligence (AI) Cyber Security Identity Management Machine Learning Predictive Analytics

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