Senior/Lead Data Scientist - Machine Learning

To ensure the best candidate experience, consider applying for a maximum of 3 roles within a year to avoid duplicating efforts. Job Category: Data Job Details About Salesforce: We’re Salesforce, the Customer Company, steering the business future with AI, Data and CRM. Adhering to our core values, we help companies of all industries forge new paths and connect with customers in a completely new way. Moreover, we empower individuals to become Trailblazers by driving their performance and career growth, creating new routes, and refining the state of the world. If you believe in business as the best platform for change and companies that benefit society- you’ve come to the correct place. Each of our teams comprises data scientists, engineers, growth analysts, and information management experts who are dedicated to propelling product strategy with data-driven insights. Our teams include executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to find new growth and optimization opportunities, experiment with data, stimulate adoption, and provide valuable insights influencing product strategy. Your Impact: As a Data Scientist, you will be collaborating with the Product, Infrastructure, and Engineering teams embedded in the Cloud businesses and functional leaders who provide data and analytical infrastructure. You'll identify and carry out initiatives that benefit the whole DI and multiple Cloud businesses. The successful candidate will need to: - Partner with Senior Leadership (VP+) to comprehend their business and advise on strategic objectives, product direction, roadmap, growth goals, and retention strategies as a Senior Analyst/ Data Scientist. Develop and own relationships with senior stakeholders. - Produce insights (e.g., performance drivers, retention analysis, behavioral personas) to expedite business growth. This includes acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing them. - Collaborate with the data engineering team and product engineering team to instrument, acquire, develop, and structure data assets vital for measuring our products' success. - Own the delivery by working with data engineers and business intelligence engineers to convert insights into data products (e.g., data pipelines, algorithms, self-service dashboards). - Develop and implement automated algorithm deployment pipelines and processes. - Advocate and distribute data products that drive action or product improvement. - Contribute to expanding the Salesforce data culture by fostering new relationships, hosting learning sessions, integrating new tools, and autonomously ameliorating team processes. Responsibilities: - Be part of a team of deep learning experts working to design, train, optimize, and deploy neural networks for enterprise business applications used by millions of customers. - Participate in the complete neural network life cycle: influence the design of new business applications, prepare datasets, develop+train NNs, optimize inference latency, work with peer product engineering teams to integrate and validate new NNs. - Develop and maintain necessary supporting tools for: quantization & latency optimization, metrics & evaluation, visualization, and dashboards to aid in the development of NNs. - Stay informed of advances in machine learning, primarily in the areas of LLLMs & their training, LLM inference optimization, NN quantization /distillation/pruning, and autonomous AI agents. Qualifications: - Strong experience with Python and software engineering best practices. - An "under the hood" knowledge of deep learning: layer details, loss functions, optimizers, lora, etc. - Fluency with common neural network architectures and related concepts for language, speed, computer vision, etc. - Experience with PyTorch, or another major deep learning framework such as Jax or TensorFlow. - Comfortable working in a Linux cluster environment. - (bonus) Experience quantizing and optimizing the inference latency of neural networks (quantization, distillation, pruning, system-level optimizations). Benefits & Perks: Visit our benefits site for information on our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information: Visit our Salesforce Engineering Site. *For students or recent graduates (within the last 12 months), please visit Future Force for opportunities* Accommodations: If you require help due to a disability when applying for open positions, please submit a request via this Accommodations Request Form. Posting Statement: At Salesforce, we believe that the business's purpose 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 building 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, colour, 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 job is $160,000 to $220,000. The offered compensation will depend on 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 www.salesforcebenefits.com.