AWS, Deep Learning, Java Programming, Jupyter Notebook, Large scale data processing, Linux Operating system, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, SciPy, Shell Scripting language, SQL, Terabyte scale datasets, Unix Operating system
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 our customer 360 personalization effort. Our team is tasked with producing performant machine learning models 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 scientist. We are looking for someone who gets a kick out of staying on top of the latest machine learning 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
Qualifications
Must-Have
Nice to have
Salesforce is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) service and also provides enterprise applications focused on customer service, marketing automation, analytics, and application development.
Tel Aviv, Israel
2-4 year
Bangalore, Karnataka, India
2-4 year
Bangalore, Karnataka, India
2-4 year
Dallas, TX, USA
2-4 year
Georgia, USA
2-4 year
Georgia, USA
2-4 year
Florida, USA
2-4 year
Indianapolis, IN, USA
2-4 year
New Jersey, USA
2-4 year
North Carolina, USA
2-4 year
South Carolina, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Cambridge, MA, USA
2-4 year
Boston, MA, USA
6-8 year
Atlanta, GA, USA
2-4 year
Chicago, IL, USA
2-4 year
Indianapolis, IN, USA
2-4 year
Kirkland, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
South Africa
2-4 year
Cambridge, MA, USA
2-4 year
Cambridge, MA, USA
2-4 year
Hyderabad, Telangana, India
2-4 year
Kirkland, WA, USA
2-4 year
Kirkland, WA, USA
2-4 year
Palo Alto, CA, USA
2-4 year
Palo Alto, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bellevue, WA, USA
2-4 year
Chicago, IL, USA
2-4 year
Indianapolis, IN, USA
2-4 year
Seattle, WA, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Washington D.C., DC, USA
2-4 year
San Francisco, CA, USA
4-6 year
Bangalore, Karnataka, India
8-10 year
Atlanta, GA, USA; Boston, MA, USA; Chicago, IL, USA; Dallas, TX, USA; Hillsboro, OR, USA; New York, NY, USA; North Carolina, USA; Oregon, USA; Pennsylvania, USA; San Francisco, CA, USA; Seattle, WA, USA; Wisconsin, USA
2-4 year