AI Scientist

3 Months ago • 7-10 Years • Artificial Intelligence • $192,900 PA - $265,200 PA

Job Summary

Job Description

Salesforce seeks an AI Scientist with 7+ years of experience in classical machine learning, deep learning, and large language models (LLMs). Expertise in prototyping AI solutions, testing machine learning models, and working with datasets is essential. Strong Python skills and experience with cloud infrastructure (AWS) are required. The role involves building AI systems, productizing innovations, and mentoring team members.
Must have:
  • Machine Learning
  • Deep Learning
  • LLMs Expertise
  • Python Skills
Good to have:
  • Agent Systems
  • Reinforcement Learning
  • Causal Inference
  • Information Retrieval
Perks:
  • Equity Benefits
  • Inclusive Programs

Job Details

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

AI Scientist

Job Description

Salesforce is the global leader in Cloud-based (SaaS) solutions that enable the world’s premier brands to maintain a robust online presence with high ROI. We do that by providing a highly scalable, integrated cloud platform that allows our clients to rapidly launch and manage multiple e-commerce stores, initiate unique marketing campaigns, and drive customer traffic across a global footprint.

We are looking for a top-notch AI scientist to join the Agentforce org. Our team of applied AI scientists is tasked with building, optimizing, and innovating the Agentforce planner system. This means you will work on how to best utilize frontier foundational models for real-world use cases- including exploring innovative approaches to agent systems and taking on the complex challenge of building testing frameworks and test cases. You will research, design, and prototype, in close collaboration with engineering and product teams and learn from customer deployments.

We are looking for someone who gets a kick out of staying on top of the latest AI literature/tools/techniques and figuring out the best way to apply these for practical solutions. We encourage contribution to tools and knowledge sharing within the team, the company, and the industry.

Responsibilities

  • 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

Qualifications
Must-Have

  • Fluent in prototyping AI solutions, testing machine learning models, and wrangling small/medium sized datasets
  • BS/MS in a quantitative discipline with 7+ years of relevant experience.
  • Expertise in classical machine learning, deep learning, and large-language-models (LLMs)
  • Avid experimenter in all things LLMs and agent systems towards innovating how current AI solutions are build
  • 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

Nice to have

  • Experience in building agent systems and shipping to production
  • Ph.D. with 1+ years of relevant experience
  • 7+ years of Deep Experience in reinforcement learning, deep learning, causal inference, and information retrieval
  • Open-source machine learning code from one's paper, contributions to any projects, implementations of papers
  • Publications in any of {cvpr, iccv, eccv, neurips, iclr, icml, acl, emnlp, recsys, kdd}


 

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

For California-based roles, the base salary hiring range for this position is $192,900 to $265,200.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

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