Senior Machine Learning Scientist

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 CategoryDataJob DetailsAbout SalesforceWe’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.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 machine learning scientist/data scientist to join the machine learning science team of the copilot and personalization org. Our team is tasked with producing performant machine learning models and copilot systems to enhance and personalize the shopper experience through search, product recommendations, content personalization, promotion selection, and much more. In addition, we augment and automate the work of the merchandiser and admins to enable them to react faster and better to changing markets, trends, and customer demands. You will be responsible for turning business needs into machine learning solutions that we can deploy to production in collaboration with our engineering teams. To achieve this, you will research, design, prototype, and build machine learning systems, with large-scale training and offline/online tuning and experimentation.The successful candidate will work with world-class database gurus, software and machine learning engineers, research scientists, and fellow machine learning scientists. We are looking for someone who gets a kick out of staying on top of the latest machine learning and 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.ResponsibilitiesWork with product management and leadership to translate business problems into data science problemsResearch, prototype, and build demonstrations of machine learning ideas for quick validation and feedbackDesign and build machine learning systems to hit accuracy and performance metric targetsProductize machine learning systems in collaboration with engineering teamsDesign and conduct experiments to ensure optimal performance of machine learning systemsEducate engineering and product teams about data science during collaborationMentor and collaborate with other members of the data science teamShare technical innovations with the team and across the companyCreate innovations and contribute to conferences and/or open-source toolsQualificationsMust-HaveFluent in prototyping/building machine learning models and algorithms and wrangling large datasetsPh.D. in a quantitative discipline with 3+ years of relevant experience or a BS/MS in a quantitative discipline with 6 - 10 years of relevant experience.Expertise in classical machine learning, deep learning, and large-language-models (LLMs)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 managersNice to havePh.D. with 5-10 years of relevant experienceExperience in shipping machine learning models into large-scale production systemsDeep Experience in reinforcement learning, deep learning, causal inference, and information retrievalExperience in building machine learning models for e-commerce problems like search and recommendationsOpen-source machine learning code from one's paper, contributions to any projects, implementations of papersPublications in any of {cvpr, iccv, eccv, neurips, iclr, icml, acl, emnlp, recsys, kdd}AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt 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 and explore our company benefits at .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.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $151,800 to $227,700.For Colorado-based roles, the base salary hiring range for this position is $138,000 to $189,800.For Washington-based roles, the base salary hiring range for this position is $138,000 to $208,800.For California-based roles, the base salary hiring range for this position is $151,800 to $227,700.For Hawaii-based roles, the base salary hiring range for this position is $138,000 to $189,800.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.SummaryLocation: Massachusetts - Cambridge; Maryland - Remote; Pennsylvania - Remote; Indiana - Remote; North Carolina - Remote; Idaho - Remote; California - Remote; Kansas - Remote; Delaware - Remote; Alaska - Remote; Maine - Remote; Tennessee - Remote; South Carolina - Remote; Wisconsin - Chicago Metro - Remote; Texas - Austin Metro - Remote; Maryland - Washington DC Metro - Remote; New Hampshire - Boston Metro - Remote; Texas - Remote; Mississippi - Remote; Wisconsin - Remote; Ohio - Remote; Florida - Deerfield Beach Metro - Remote; Kentucky - Remote; Connecticut - New York City Metro - Remote; Wyoming - Remote; Minnesota - Remote; Georgia - Remote; Oklahoma - Remote; Oregon - Remote; Louisiana - Remote; Nevada - Remote; Massachusetts - Remote; Washington D.C. - Remote; California - San Francisco Metro - Remote; New Mexico - Remote; Virginia - Remote; New Jersey - New York City Metro - Remote; Indiana - Chicago Metro - Remote; Arkansas - Remote; Missouri - Remote; Colorado - Remote; North Dakota - Remote; South Dakota - Remote; Connecticut - Remote; Nebraska - Remote; New York - New York City Metro - Remote; Montana - Remote; New York - Remote; Vermont - Remote; Georgia - Atlanta Metro - Remote; New Hampshire - Remote; Iowa - Remote; West Virginia - Washington DC Metro - Remote; Florida - Tampa Metro - Remote; West Virginia - Remote; Illinois - Chicago Metro - Remote; Arizona - Remote; Alabama - Remote; Rhode Island - Remote; Texas - Dallas Metro - Remote; Washington - Remote; Texas - Houston Metro - Remote; Michigan - Remote; US, RemoteType: Full time