AI Scientist
Description For AI Scientist
Salesforce, the global leader in Cloud-based (SaaS) solutions, is seeking an AI Scientist to join their Agentforce organization. This role presents an exciting opportunity to work at the forefront of AI innovation, specifically focusing on building, optimizing, and innovating the Agentforce planner system.
The position involves working with frontier foundational models for real-world applications, exploring innovative approaches to agent systems, and developing comprehensive testing frameworks. You'll be part of a dynamic team of applied AI scientists, collaborating closely with engineering and product teams to translate cutting-edge AI research into practical solutions.
As an AI Scientist, you'll be responsible for researching, designing, and prototyping AI solutions while staying current with the latest developments in AI literature, tools, and techniques. The role demands a unique combination of technical expertise, research acumen, and practical implementation skills. You'll have the opportunity to contribute to tools and share knowledge within the team, company, and broader industry.
The ideal candidate should have extensive experience in machine learning, deep learning, and LLMs, with a proven track record of implementing AI solutions. Strong programming skills, particularly in Python and its scientific stack, are essential. The role offers competitive compensation ranging from $192,900 to $265,200, reflecting the senior nature of the position.
This position is perfect for someone who is passionate about AI innovation, enjoys solving complex problems, and wants to make a significant impact in a leading technology company. You'll be working in either the San Francisco Bay Area or Boston, contributing to projects that shape the future of AI applications in enterprise solutions.
Responsibilities For AI Scientist
- Work with product management and leadership to translate business problems into applied science problems
- Research, prototype, and build demonstrations of AI ideas for quick validation and feedback
- Design and build AI systems to hit accuracy and performance metric targets
- Productize AI innovations in collaboration with engineering teams
- Educate engineering and product teams about AI science during collaboration
- Mentor and collaborate with other members of the team
- Share technical innovations with the team and across the company
- Create innovations and contribute to conferences and/or open-source tools
Requirements For AI Scientist
- BS/MS in a quantitative discipline with 7+ years of relevant experience
- Expertise in classical machine learning, deep learning, and large-language-models (LLMs)
- Fluent in prototyping AI solutions, testing machine learning models, and wrangling small/medium sized datasets
- Proficient in using Python scientific stack (e.g. Numpy, Pandas, PyTorch, SciPy, Jupyter)
- Proficient in shell scripting, Unix/Linux command-line tools, working with cloud infrastructure (AWS)
- Great communication skills: ability to discuss with scientists, engineers, designers, and product managers
- Avid experimenter in all things LLMs and agent systems towards innovating how current AI solutions are build
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