Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Job Category
Products and Technology
Job Details
Salesforce is looking for an exceptional Machine Learning Engineer to help us take on one of the world’s most extensive data sets and transform it into amazing products that feel like magic. You will work on innovative AI applications and products. Brainstorming data product ideas with data scientists and engineers to build data products used by hundreds of millions people every day.
LOCATION: We are open to Fully Remote, Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in office) work arrangements.
In your role as a Machine Learning Engineer, you will partner with analysts, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to create ML-driven decision making data products that enable our partners to affect the bottom line and solve critical business problems.
Equality is a core value at Salesforce. We strive to build a workplace that reflects society and where everyone feels seen, valued, heard and empowered to create the best work of their careers. Learn more about our commitment to Equality
Responsibilities
· Work closely with a dedicated team of machine learning professionals on a wide range of problems including forecasting meaningful business metrics such as sales and capacity, churn and propensity modelling to retain and grow our customer base, clustering and classification using both structured and unstructured data, and more!
· Help create high-visibility data products and decision-making tools for Salesforce’s leaders.
· Lead the charge on taking our core products to the next level in terms of engineering maturity and architecture.
· Refine and develop new data science products, workflows, tools, and automation.
· Build tools to monitor data pipeline performance, data quality and models in production.
· Establish best practices with coding standards, workflows, tools, and product automation.
· Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and create new ones.
· Scale the operations of the data science team by building automation and libraries.
· Peer review code and participate in architecture design and reviews.
· Be part of a team and company that truly cares about your wellbeing and knows how to have fun - both during and after work!
Preferred Qualifications:
In school, or graduated within the last 24 months? Please visit FutureForce for opportunities
For Colorado-based roles: Minimum annual salary of $82,400. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/.
You can find other info there as well- including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!
*LI-Y
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
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