Senior AI Engineer - Remote

Overview

Mursion provides an award-winning upskilling platform trusted by top companies to measurably improve employees' interpersonal intelligence and build stronger organizations. Powered by multimodal AI and a unique practice-based approach, our real-world, interactive simulations deliver lasting results. Our solutions are grounded in behavioral science and psychology to build confidence and positive behaviors, and ultimately help reduce the costs of stress. Mursion’s product suite includes AI-powered simulations, human reinforcement assessment & coaching, and advanced analytics that lead to measurable skills acquisition.

Mursion is a well-funded Series B startup that is backed by future of work and Edtech investing veterans, like Leeds Illuminate and New Markets Venture Partners. Mursion is the largest simulation company, with more than 800K+ simulations to date and more than 200K users per year, with a growing global footprint. By 2026, we will be delivering 2 million simulations per year. 

In Short

• Lead the development and deployment of advanced AI models and systems for real-time conversational agents.
• Create and implement cutting-edge AI models and algorithms.
• Develop AI-powered applications and integrate AI capabilities into existing software.
• Collaborate with data scientists, software engineers, and domain experts.
• Optimize AI systems for high performance and scalability.
• Leverage large language models, voice synthesis, and automatic speech recognition.
• Focus on technical excellence and product impact.
• Analyze large datasets for model development and evaluation.
• Monitor and improve AI systems in production.
• Explore and implement emerging AI techniques.

Requirements

• 8+ years of experience as a Machine Learning Engineer, AI Engineer, or related role.
• Proven experience developing and deploying ML/AI capabilities into production.
• Strong programming skills in Python and/or JavaScript/TypeScript.
• Deep understanding of core MLOps and modern software architecture.
• Proficiency in data structures, algorithms, and statistical methods.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (AWS, Google Cloud, Azure).
• Knowledge of DevOps practices and CI/CD pipelines.
• Strong data intuition and product-minded approach.
• Experience with natural language processing, computer vision, or reinforcement learning preferred.

Benefits

• Competitive salary range from $150K-$170K.
• Full medical, dental, and vision insurance.
• Paid holidays and flexible PTO.
• 401k program.
• Collaborate with a diverse team of professionals.
• Be at the forefront of reinventing learning for the future workforce.