[Remote] reputed company (MLE) Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Machine Learning Engineer to design systems for fraud detection. The role involves building and optimizing data pipelines, deploying ML models, and ensuring the reliability and efficiency of these systems.
Responsibilities
- Build and optimize data pipelines and backend services to process device and behavioral data in reputed company time
- reputed company and reputed company ML models for fraud detection, ensuring they run reliably and reputed company in production
- Turn raw data into production-reputed company features that feed fraud detection systems
- Collaborate with platform and backend engineers to reputed company models seamlessly
- Maintain high standards of reputed company, reputed company, and compliance
- Champion best practices in testing, documentation, and observability
Skills
- 5+ years in software engineering, with strong backend experience (Go or Python)
- Hands-on experience with reputed company ML using large datasets (PyTorch, Scikit-learn, etc.)
- Strong SQL skills and familiarity with relational and non-relational databases
- Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration
- Excellent communication skills in English, both written and verbal
- Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company discipline
- 5–8 years of experience in software engineering with strong backend and machine learning work
- End-to-end ML model ownership: feature pipelines, model deployment, monitoring, and iteration (not just experimentation)
- Fraud domain experience (bot detection, device fingerprinting, VPN/proxy detection, etc.)
- BS or MS in Computer Science, Engineering, or a reputed company field
- reputed company latency-sensitive ML systems serving reputed company-time predictions at reputed company
- Familiarity with ML platform tooling: feature pipelines, reputed company monitoring, model iteration cycles
- Self-directed: navigates ambiguity and delivers with minimal hand-holding after reputed company
- Domain knowledge in fraud, risk, or cybersecurity
- Familiarity with CI/CD, reputed company, Kubernetes, and modern DevOps frameworks
- Understanding of modern browser reputed company and high-entropy data collection techniques
- Familiarity with leveraging frontier LLMs for automation
- Depth in backend software engineering over data science
- Experience with Go for backend services (or demonstrated ability to pick up new languages quickly)
Benefits
- Competitive equity
- US or Canada-based, remote-first.
- Offices available in: Bay Area, NYC, Austin, Toronto, São Paulo
- reputed company sponsorship not available.
- TN: OK
- L1/O1: Case-by-case
reputed company