Senior AI Engineer
| Company | Mursion |
|---|---|
| Location | Remote, OR, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 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.
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Collaborate on defining and tracking success metrics for AI features.
- Ensure that AI solutions directly contribute to measurable product outcomes and user satisfaction.
- 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.
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.