Senior Machine Learning Engineer developing production-grade systems for content safety at Spotify. Leading initiatives and collaborating across teams to ensure safe user interactions.
Responsibilities
Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
Own and lead key technical initiatives across detection, classification, and policy evaluation systems
Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
Represent technical decisions and trade-offs in stakeholder discussions and influence product direction
Requirements
You have solid experience building and deploying machine learning systems in production environments at scale
You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
You care about building safe, responsible, and user-centric ML systems
You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
You have experience leading technical projects and influencing direction within a team or product area
You have experience with distributed systems or backend technologies (e.g., Scala)
Machine Learning Engineer building next - generation agentic AI platforms for Salesforce. Collaborating with cross - functional teams to innovate and create impactful solutions.
Join Visium as a Junior Machine Learning Engineer internship, focusing on applied research projects using Machine Learning to transform business operations in Switzerland.
AI Engineer at Trunk Tools revolutionizing construction with intelligent automation and production - ready AI agents. Leading design and implementation of multi - agent systems for document and data processing.
Audio Machine Learning Co - op developing real - time AI - powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
AI Center of Excellence Engineer at F5 supporting applied AI research, prototyping, and engineering initiatives. Evaluating AI techniques and creating integration recommendations for production systems.
Senior ML Engineer at Centra developing forecasting and AI - driven decision support for fashion brands. Collaborating to enhance ecommerce through machine learning and insights.
Staff ML/AI Engineer for healthcare communication solutions at Accurx. Leading AI/ML initiatives to enhance patient communication and healthcare efficiency.
Senior Machine Learning Engineer developing ML systems for healthcare communication technology at Accurx. Join our mission - driven team to solve real - world problems in healthcare.
Senior Developer at Valorem Reply delivering ML/AI applications on AWS. Collaborating with product and engineering teams to provide high - quality tech solutions.
Senior Developer building and evolving ML/AI applications on AWS for Valorem Reply. Collaborating closely with product, architecture, and engineering teams for quality solutions.