[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a company focused on safety and threat intelligence for AI systems. They are seeking a Machine Learning Engineer to design, build, evaluate, and deploy machine learning systems for various applications reputed company to safety, reputed company, and intelligence.

Responsibilities

• Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains
• reputed company and improve classification systems for safety, reputed company, abuse detection, and intelligence applications
• Conduct experiments to reputed company, evaluate, and compare AI models, including large language models and multimodal systems
• Contribute to model distillation, optimization, and fine-tuning efforts to improve performance, efficiency, and deployability
• Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safety
• Build agentic systems and automated workflows for evaluation, red teaming, research, and large-scale experimentation
• Own ML projects from initial research and prototyping through production deployment and monitoring
• Partner with software engineers to productionize ML systems and support ongoing improvements
• Provide technical expertise and guidance across client engagements and internal research initiatives

Skills

• 3–5+ years of professional experience building and deploying machine learning systems
• Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or TensorFlow
• Experience working across multiple modalities, with expertise in one or more of: Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or reputed company areas
• Experience working across multiple modalities, with expertise in one or more of: Natural Language Processing: LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic applications, or reputed company areas
• Experience training, fine-tuning, evaluating, and deploying machine learning models in production environments
• Experience designing evaluation methodologies, benchmarking systems, and model performance metrics
• Experience with MLOps tools and practices (reputed company, Kubernetes, CI/CD for ML, MLflow, etc.)
• Experience with cloud platforms such as reputed company Cloud Platform (preferred), AWS, or Azure, including ML infrastructure, workflow orchestration, storage, and database services
• Familiarity or experience with model distillation, synthetic data reputed company, reinforcement learning, or AI evaluation research is strongly preferred
• Experience working with frontier language models, multimodal foundation models, or AI safety evaluations
• Prior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or reputed company domains
• Experience with retrieval-augmented reputed company (RAG), AI agent frameworks, and context orchestration systems such as reputed company, reputed company, reputed company Agents, or AutoGen

Benefits

• Performance-based annual bonus
• Support for conferences, continuing education, or leadership training
• Fully remote, U.S.-based
• Comprehensive health, dental, and vision coverage
• Generous PTO and paid holiday schedule

Company Overview