12 days ago
Base Salary
$140k - $210k/yr
Responsibilities
- Design, build, and optimize machine learning models, pipelines, APIs, and reusable production-grade AI components in Python.
- Implement configuration-driven workflows and scalable AI system orchestration using tools such as YAML.
- Integrate AI models into scalable, user-facing features with backend, frontend, and product teams.
- Monitor, evaluate, and improve AI model performance in production environments.
- Troubleshoot data pipeline, model inference, and deployment issues.
- Conduct unit, integration, exploratory, and peer code reviews while advocating for ML engineering, testing, and automation best practices.
- Document workflows, model configurations, and best practices to support reproducibility and transparency.
- Participate in technical planning, architecture reviews, sprint ceremonies, knowledge sharing, and continuous exploration of AI/ML techniques.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, or a related field.
- 10+ years of professional software engineering experience, with a stated strong focus on frontend development.
- Hands-on experience with one or more modern AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, or scikit-learn.
- Experience designing and deploying production-grade machine learning models and pipelines.
- Familiarity with configuration-driven workflows and orchestration using YAML or similar tools.
- Strong testing, debugging, documentation, collaboration, and communication skills.
- Demonstrated curiosity about AI and willingness to continuously learn and grow.
- Cloud-based ML platform experience with Azure, GCP, or AWS and containerization experience with Docker are preferred.
Benefits
- Comprehensive healthcare coverage, flexible paid time off, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, and company-paid privacy certification exam fees.
- Office-first culture with three days per week in the office for most roles; specific flexibility may depend on the position and location.
Categories
About OneTrust
OneTrust builds an enterprise data governance and compliance platform used to manage privacy, consent, and AI governance across global operations. Its products span privacy impact assessment and data‑mapping automation, cookie and consent management, vendor risk, subject access requests, incident management, and policy enforcement, sold as subscription software. Founded in 2016 and headquartered in Atlanta, the privately held company serves thousands of organizations worldwide across regulated industries.