Gray Swan AI - Forward Deployed Engineer – Machine Learning (Northeast U.S.)

• Hands-on experience in collaborative environments, working closely with cross-functional teams like data scientists, software engineers, and product managers. • Demonstrated ability to work independently in ambiguous environments and take full ownership of outcomes. • Hands-on experience in building and deploying machine learning models and systems. • Demonstrated expertise in designing, training, and deploying deep learning models with frameworks like PyTorch. • Demonstrated experience programming in Python and C++. • Practical experience in developing scalable machine learning pipelines and integrating them with cloud infrastructure (e.g., AWS, GCP, Azure). • In-depth knowledge of neural network architectures, such as sequence models, transformers, and other state-of-the-art approaches. • Strong algorithmic problem-solving skills and comprehensive knowledge of ML theory and optimization techniques. • Proficiency in data preprocessing and transformation, and handling large-scale datasets with multiple modalities. • Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical field is required. • A Master’s degree in a relevant technical field, especially with a focus on machine learning and AI safety. • Experience with AI safety practices, such as model validation, robustness testing, and continuous monitoring for safety and security incidents throughout deployment. • Familiarity with AI safety and security assessments and adversarial testing. • Strong collaboration and problem-solving abilities, with an emphasis on driving impactful solutions. • Experience working with customers, partners, or other external stakeholders to deploy and ensure the success of software products, ideally in a technical pre-sales, technical support, forward-deployed engineering, or similar role. • If you don’t have 100% of these, you should still seriously consider applying. We care more about what you can do than your credentials. • You’ll Thrive Here If You: • Are looking for a role where you have a huge opportunity to work hard, prove yourself, and build your skillset by trying new things and learning on the job. • Approach your work proactively and enjoy problem solving • Can learn fast and are naturally curious • Are passionate about our mission– to empower the world to use AI safely and securely