Note: The job is a remote job and is open to candidates in USA. Harnham is a leading AI-powered fraud prevention company that helps online retailers increase sales while reducing fraud risk. The Senior Machine Learning Engineer / ML Scientist will design and deploy machine learning models for fraud detection, driving projects from concept to production while collaborating with various teams.
Responsibilities
- Design, develop, and deploy machine learning models used in large-scale fraud detection systems
- Build and improve experimentation frameworks to accelerate model development and evaluation
- Develop offline evaluation methodologies to assess model performance before production deployment
- Create new approaches to fraud detection using advanced statistical and machine learning techniques
- Work with large-scale distributed data processing environments using Spark
- Partner with Product, Engineering, and Risk stakeholders to translate business challenges into technical solutions
- Contribute to machine learning infrastructure and platform capabilities
- Champion best practices around testing, documentation, model monitoring, and production readiness
- Drive projects from experimentation through deployment and ongoing optimization
Skills
- 4+ years of experience in a production machine learning environment
- Strong hands-on experience with Python, SQL, and Apache Spark
- Deep understanding of machine learning theory, statistical modeling, and model evaluation
- Experience designing and executing machine learning experiments from the ground up
- Ability to solve business problems through rigorous experimentation and scientific methodology
- Experience working with large-scale or distributed computing systems
- Strong communication and collaboration skills
- Master's or PhD in Computer Science, Statistics, Machine Learning, Mathematics, or a related field
- Experience in Applied Scientist, Machine Learning Scientist, or Machine Learning Engineer roles
- Experience building ensemble models or advanced evaluation frameworks
- Fraud, payments, risk, or fintech experience
- Research background with strong quantitative foundations
Benefits
- Annual performance bonus
- Equity package
- 401(k) match
- Comprehensive medical, dental, and vision coverage
- Flexible spending accounts
- Life and disability insurance
- Unlimited PTO
- Paid parental leave
- Professional development and learning stipend
Company Overview