Job Overview
Location
Remote (U.S. or International)
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Design and develop novel machine learning approaches to adversarial testing, model evaluation, and robust inference for securing AI systems in real-world environments.
- • Build and deploy machine learning models that meet production-grade performance, scalability, and reliability requirements in adversarial settings.
- • Design controlled experiments to empirically analyze model behavior under adversarial conditions, using rigorous methodologies and statistical validation.
- • Translate research prototypes into scalable AI systems integrated into production environments used by leading AI labs and enterprises.
- • Develop and advance methodologies for monitoring, controlling, and analyzing machine learning models in live deployment to detect and mitigate security threats.
- • Collaborate closely with engineering and platform teams to bridge the gap between research innovation and production deployment.
- • Communicate research findings through internal reports, technical documentation, and peer-reviewed publications.
- • Work with large-scale, multi-modal datasets, applying advanced data preprocessing and transformation techniques to enable robust model training and testing.
- • Implement and optimize neural network architectures, including transformers and sequence models, to address emerging AI security challenges.
- • Apply strong algorithmic problem-solving skills and deep knowledge of machine learning theory and optimization techniques to solve complex adversarial problems.
- • Develop and maintain scalable ML pipelines, integrating with cloud infrastructure such as AWS, GCP, or Azure to support high-throughput research and deployment workflows.
- • Contribute to the design of AI safety practices including model validation, robustness testing, and continuous monitoring for security incidents.
- • Engage with cutting-edge AI safety and security assessments, including adversarial testing frameworks and synthetic data generation techniques.
- • Operate in a fast-paced startup environment where ambiguity is common, requiring initiative, adaptability, and strong problem-solving skills.
- • Work remotely across U.S. and international time zones, collaborating with a team of researchers and engineers focused on real-time AI threat detection and adaptive defenses.
- • Directly influence how major AI organizations deploy models by ensuring research outcomes are embedded into production systems that protect against emerging threats.
- • Maintain expertise in current advancements in AI security, adversarial machine learning, and model robustness through active research and internal knowledge sharing.
- • Participate in shaping the technical direction of Gray Swan AI’s AI safety platform through contribution to long-term research roadmaps and product strategy.
🎯 Requirements
- • Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical field
- • Master’s or PhD in a relevant technical field with focus on machine learning and AI safety strongly preferred
- • Demonstrated expertise in designing, training, and deploying deep learning models using PyTorch
- • Strong Python programming skills; C++ preferred
- • Experience developing scalable ML pipelines and integrating with cloud infrastructure (AWS, GCP, or Azure)
- • Proven ML research experience including building prototype systems, designing experiments, empirical analysis, and publishing results
🏖️ Benefits
- • 401k with up to 4% matching
- • 28 days annual leave (vacation + holidays)
- • Health, dental, and vision coverage
- • Flexible work arrangements
- • Visa sponsorship available for exceptional candidates
- • Salary range of $183,000-$278,000 with competitive equity package
Skills & Technologies
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About Gray Swan AI
Gray Swan AI is a technology company focused on developing and deploying artificial intelligence solutions. They specialize in creating AI-powered tools and platforms designed to address complex challenges across various industries. Their offerings often involve advanced machine learning, natural language processing, and data analytics to provide actionable insights and automate processes. Gray Swan AI aims to help organizations leverage the power of AI to improve efficiency, drive innovation, and gain a competitive edge. The company's approach typically involves a deep understanding of client needs to deliver tailored AI strategies and implementations that yield measurable results and foster long-term growth.
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