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 seeking a Senior Machine Learning Engineer to join our US-based Machine Learning (ML) Platform team. Our team is dedicated to designing, building, and maintaining scalable infrastructure and tools that empower machine learning and deep learning projects at Socure. As a key member of the ML Platform team, you will play a crucial role in the end-to-end ML lifecycle, from data collection and analysis to the development, deployment, and optimization of robust ML pipelines. If you have a passion for building efficient, reliable infrastructure and developing tools that simplify and enhance the work of data scientists and ML engineers, we’d love to connect and discuss your background and experiences.
Role and Responsibilities
Develop feature engineering strategies and solutions to support machine learning models
Design and implement robust and scalable systems for efficient model inference
Build and maintain infrastructure supporting feature engineering, model serving, Gen-AI agents, and related components across the machine learning lifecycle
Contribute to the development and enhancement of a comprehensive feature platform to streamline and optimize feature creation and management
Demonstrate best practices in version control and continuous integration / delivery
Own and drive initiatives from conception to deployment and monitoring
Collaborate with data scientists, engineers, product managers, and other key stakeholders in a fast-paced cross-functional environment
Required Qualifications
3+ years of experience building and maintaining production-quality software systems
Background in software engineering, data engineering, MLOps, data science, or research
Experience with popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with containerization (e.g., Docker) and/or container-orchestration systems (e.g., Kubernetes, Argo CD)
Proficiency in deep learning/machine learning deployment and inference systems
Familiarity with ML engineering best practices and readiness to work in a fast-paced, dynamic environment
Experience with databases and/or data warehouses (e.g., DynamoDB, Snowflake or Redshift)
Experience withdistributed data processing and streaming frameworks (e.g., Apache Spark, Apache Kafka)
Experience with workflow orchestration tools (e.g., Apache Airflow)
Ability to develop user-centric solutions and effectively translate stakeholder needs into technical requirements
Experience with cloud platforms (experience with AWS and/or Terraform is a plus)
Preferred Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Experience with advanced feature engineering and feature store platforms
Knowledge of security best practices in ML deployment and data handling
Experience with CI/CD pipelines specifically tailored for ML applications
Proficiency in optimizing for latency, scalability, and high availability in production environments
Strong design skills for developing effective and efficient ML systems
Hands-on experience with monitoring and observability tools for ML systems (e.g., Prometheus, Grafana)
Strong communication skills for collaborating with non-technical stakeholders
Ability to contribute to and foster a positive team cultureSalary Disclosure:Base Salary range: $160,000 - $190,000
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/careersSocure 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:
Socure is Forbes' 2022 Best Startup Employer: https://bit.ly/3fbNw8S
Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7
Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU
Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4
Archives & Press Releases: https://learn.socure.com/about/press-release
