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.
About the Role
We are seeking a Senior AI Engineer to lead the development and deployment of advanced AI models and systems for real-time conversational agents. In this role, you will create and implement cutting-edge AI models and algorithms, develop AI-powered applications, and integrate AI capabilities into existing software. Collaboration with data scientists, software engineers, and domain experts will be a cornerstone of your work. You will be responsible for optimizing AI systems to ensure high performance and scalability, all while staying at the forefront of advancements in AI technologies and techniques.
As part of your work, you will leverage large language models (LLMs), voice synthesis, and automatic speech recognition (ASR) to build intelligent agents that deliver exceptional user experiences. This position demands a strong focus on both technical excellence and product impact, with the goal of driving meaningful business outcomes through innovative AI solutions.
Responsibilities
AI Development and Deployment
- Develop and maintain AI-driven, real-time speech-to-speech conversational agents.
- Build low-latency, high-impact features that enhance user experiences and align with product goals.
- Optimize AI pipelines, including LLMs, ASR, and text-to-speech (TTS) systems, for performance and scalability.
Cross-Functional Collaboration
- Work closely with product, design, and research teams to ensure AI capabilities meet user needs and product objectives.
- Partner with data scientists, software engineers, and product managers to identify and prioritize impactful features.
Data Intuition and Model Optimization
- Analyze large datasets to extract meaningful insights for model development and evaluation.
- Demonstrate a strong intuition for leveraging data to address user needs and product challenges.
- Implement and optimize machine learning algorithms for performance and scalability.
AI Infrastructure and Maintenance
- Monitor, maintain, and improve AI systems in production to ensure reliability, accuracy, and robustness.
- Stay current with advancements in generative AI and machine learning to incorporate innovative solutions into our systems.
Product-Minded Approach
- Collaborate on defining and tracking success metrics for AI features.
- Ensure that AI solutions directly contribute to measurable product outcomes and user satisfaction.
Research and Continuous Improvement
- Explore and implement emerging AI techniques and methodologies to maintain a competitive edge.
- Participate in code reviews, testing, and debugging to uphold high-quality deliverables.
Qualifications
Experience and Expertise
- 8+ years of experience as a Machine Learning Engineer, AI Engineer, or a related role.
- Proven experience developing and deploying ML/AI capabilities into production for real users.
- Strong programming skills in Python and/or JavaScript/TypeScript. Expertise in one and willingness to learn the other is essential.
Technical Skills
- Deep understanding of core MLOps and modern software architecture for ML-based applications.
- Proficiency in data structures, algorithms, and statistical methods.
- Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes).
- Knowledge of DevOps practices and CI/CD pipelines.
Behavioral and Mindset Requirements
- Strong data intuition with the ability to make informed decisions based on data insights.
- Product-minded, with a focus on delivering solutions that meet user needs and drive business impact.
- Enthusiastic about applying AI to solve real-world business problems.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Physics, or a related field.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning.
Job Type: Full Time
Location: Remote, United States - We want candidates to be prepared for one in person interview. There is some travel for team off-sites as well.
Compensation and perks: The salary range for this position is from $150K-$170k and is commensurate with experience. For full-time employees, Mursion offers competitive benefits, which include full medical, dental, and vision insurance, paid holidays, and flexible PTO.
We understand that not everyone will demonstrate proficiency in all of the areas listed under the responsibilities and qualifications. At Mursion, we strive to raise the bar! We encourage women and historically marginalized communities to apply if you feel your skills and life experiences are transferable to some of the qualifications in the job description.
Our Values
We cultivate empathy
Empathy is at the core of all we do. We make time to communicate and listen before we take action. We make decisions based on reasoned analysis and authentic care for the aspirations of our partners and colleagues.
We lead with curiosity to create lightbulb moments
Our team is strengthened by having the courage to thoughtfully ask difficult questions. We are results-oriented innovators who create dynamic solutions to complex problems by encouraging transparency, creativity, and iteration. We are energized by thought-provoking conversations and the diverse perspectives of our partners and peers.
We strive to raise the bar
We see ourselves as trailblazers in simulation. Our learning theory is grounded in research and we demand empirical evidence before concluding our efforts have been successful. We always look for ways to improve. We recognize we live in an imperfect world and we embrace our responsibility to promote shared understanding and elevate humankind.
We have the courage to be human
We are a fun-loving, driven team of developers, artists, entrepreneurs, operational masterminds, and technologists dedicated to the proposition that learning experiences can be powerful and playful. We recognize that we are more than a business; we are a community of unique individuals with a collective focus to improve human interactions through practice. It is through our humanity that we create better products and learning experiences for our partners.
Compensation and perks: Salary commensurate with experience. For full-time employees, Mursion offers competitive benefits, which include full medical, dental, and vision insurance, a 401k program, paid holidays, and flexible PTO.
Collaborate with a unique blend of employees ranging from 3D artists, software developers, operations, sales, and finance teams to actors who deliver interactive, highly immersive simulations.
Be at the forefront of reinventing learning for the future workforce.
How to Apply: Qualified candidates should submit a resume. Applications will be reviewed on a rolling basis, so interested parties are encouraged to submit as soon as possible.
Mursion is an equal opportunity employer and encourages applications from People of Color, Women, Persons with Disabilities, and the LGBTQIA+ community.
We are not accepting agency submissions at this time. Please don't send unsolicited candidate resumes to Mursion employees. They will not be accepted.
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