Senior AI Researcher developing Aurora, an AI system for guiding financial outcomes at Moneybox. Collaborating with ML engineers and scientists to design scalable architecture and prototype solutions.
About the role
- Lead AI Research Engineer at AVEVA, focusing on prototyping and validating emerging AI technologies. Collaborating with teams to drive innovation and real-world applications in industrial software.
Responsibilities
- Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability
- Investigate, develop, fine-tune, evaluate, and benchmark AI/ML models
- Design, build, and iterate on working prototypes, proof-of-concepts, and pilots
- Assess AI approaches for scalability, reliability, cost, security, and operational feasibility
- Make and document AI investigation and architectural decisions related to model deployment and integration
- Drive technical and scientific publications on AI research
- Collaborate closely with cross-functional teams to ensure AI proofs-of-concept, prototypes, and pilots can transition to later stage development and/or downstream products
- Clearly document findings and present actionable recommendations to technical and non-technical stakeholders
- Mentor and coach junior team members.
Requirements
- 10+ years of experience in AI research and development, ML engineering, or equivalent industry experience with at least 3 years in a technical lead position
- Bachelor's degree in Computer Science, AI/ML, Engineering or a related technical field; advanced degree preferred
- Proven track record leading and delivering large-scale technical investigations or complex AI cross-functional initiatives with measurable outcomes
- Expertise in Python and deep experience with deep learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state-of-the-art ML techniques (building, training, evaluating, deploying ML models)
- Practical experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
- Exceptional communication and presentation skills; can articulate complex technical concepts to both technical and non-technical audiences, including senior leadership
- Ability to connect AI capabilities to practical industrial or enterprise use cases.
Benefits
- Flex work hours
- 20 days PTO rising to 25 with service
- Three paid volunteering days
- Primary and secondary parental leave
- Well-being support
- Medical, dental, vision, and 401K.
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