SoundThinking is looking to advance its AI/ML strategy and deliver high-impact data-driven solutions by designing and implementing state-of-the-art machine learning models, setting technical standards, and collaborating with Engineering, Product, and customer teams to ensure AI products are scalable, secure, and responsible.
Requirements
- Expertise in one or more of: natural language processing, computer vision, multimodal AI, time-series analysis, or generative AI.
- Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Deep expertise in large language models (e.g., GPT, LLaMA, Claude, Falcon, Mistral, or custom transformer architectures).
- Proven experience in fine-tuning, prompt engineering, evaluation, and deployment of LLMs in production environments.
- Strong knowledge of cloud-based ML infrastructure (AWS, GCP, or Azure) and distributed data systems.
- Familiarity with data security, privacy, and compliance (CJIS, GDPR, SOC2, etc.).
- Proven ability to influence product and engineering teams through technical authority without direct management.
Responsibilities
- Act as a senior IC and subject matter expert for AI/ML/LLM initiatives, setting technical direction in alignment with the Senior Director, Engineering.
- Research, prototype, and deliver advanced machine learning and deep learning models for real-world production applications.
- Own the full lifecycle of AI models: data acquisition, feature engineering, model design, evaluation, deployment, monitoring, and continuous improvement.
- Establish and enforce best practices for MLOps, model governance, and responsible AI, ensuring compliance with enterprise and regulatory standards.
- Partner with engineers to integrate models into production systems with an emphasis on performance, reliability, and explainability.
- Collaborate with Product teams to translate business requirements into AI/ML technical roadmaps and deliverables.
- Produce high-quality technical documentation, design artifacts, and knowledge transfer materials.
Other
- Master’s or PhD in Computer Science, Data Science, Statistics, or a related field strongly preferred.
- Ability to travel as required.
- Excellent communication and presentation skills, including the ability to explain complex AI concepts to non-technical stakeholders.
- 10+ years of applied experience in data science, AI, or ML, with a strong record of delivering models into production.
- Ability to work onsite 3 days per week – the specific days are dependent on the office location.
