Senior Applied Scientist- AI/ML

As a Senior Applied Scientist - AI/ML at Wealth.com, you'll take on key responsibilities such as integrating advanced Large Language Models into our production systems and developing sophisticated Q&A frameworks. You'll also design data pipelines, collaborate closely with Software Engineers, and lead projects from start to finish, ensuring that your work aligns with business goals.

To qualify for the Senior Applied Scientist - AI/ML position at Wealth.com, you should possess a Bachelor's, Master's, or PhD in Computer Science or related fields. Significant experience in building RAG pipelines with LLMs and a deep understanding of NLP and computer vision models is also essential. Preferred candidates have over 5 years in related experience, with familiarity in prompt engineering and deploying AI models.

Wealth.com fosters a culture of innovation by encouraging Senior Applied Scientists - AI/ML to take ownership of projects and collaborate across teams. This role allows you to lead the exploration and implementation of new AI technologies and methodologies while directly impacting business outcomes through your contributions and research.

The work environment for a Senior Applied Scientist - AI/ML at Wealth.com is dynamic and collaborative. The company is recognized as a Great Place to Work and emphasizes a supportive culture where innovation thrives. You'll work with a diverse team committed to leveraging advanced technologies to create exceptional estate planning solutions.

The salary range for the Senior Applied Scientist - AI/ML role at Wealth.com is between $180,000 and $215,000 a year. This competitive compensation reflects the highly skilled nature of the position and the company's commitment to attract and retain top talent in the field of AI and machine learning.

When answering, highlight specific projects where you've integrated LLMs into applications. Discuss the models you've used, such as OpenAI or Gemini, and any significant results or improvements your work led to. Emphasize your understanding of their capabilities and limitations.

Your answer should outline a structured approach to developing Q&A systems, including leveraging RAG frameworks and the importance of efficient data transformation processes. Highlight examples of technologies you've used and how you ensured the scalability and precision of your models.

Discuss methods you employ to understand stakeholder requirements and translate those into technical specifications. Mention your experience in communicating the potential impact of AI initiatives on business operations, demonstrating how you bridge the technical and business realms.

Provide details regarding the depth of your programming experience with Python, including specific libraries or frameworks relevant to AI/ML like TensorFlow or PyTorch. Include examples of projects where your Python skills were essential for deploying and maintaining AI models.

Outline the steps you take in training models, such as data preparation, feature selection, and choosing the right algorithms. Emphasize your approach to fine-tuning, evaluating performance, and ensuring model robustness before deployment.

Discuss your experience in managing complex data, including strategies for data cleaning, transformation, and integration. Mention any tools or methodologies you've used to facilitate effective data management, ensuring smooth ETL processes.

Share specific instances where you have used prompt engineering to optimize the performance of language models. Discuss your understanding of how prompt design influences model output and your approach in crafting effective prompts for specific applications.

Talk about the key performance indicators you focus on, including accuracy, precision, and recall. Highlight your approach to ongoing testing and validation to ensure the models meet the expected standards and deliver meaningful results.

Use this opportunity to share a specific project that showcases your leadership skills, technical expertise, and the impact of your work. Highlight your role in guiding the project from conception to execution and the outcomes it produced.

Mention your strategies for staying current with the latest AI/ML research and industry developments. This could include attending conferences, participating in webinars, following influential publications, and engaging with the AI community through networks or forums.