Machine Learning Engineer - Senior/Lead/Principal

For the best applicant experience, we recommend applying for no more than 3 roles within a 12-month period to avoid any repetition of efforts. Job Category: Software Engineering Job Details: About Salesforce: We are Salesforce, the Customer Company, pioneering the future of business with AI+ Data +CRM. With our core values leading the way, we assist companies from all industries to forge new paths and connect with their customers innovatively. Furthermore, we empower you to become a Trailblazer, driving your performance and career growth, innovating new routes, and bettering the world's state. If you believe in business as the most powerful platform for change and in companies doing well and good, you're at the right place. Machine Learning Engineer - Senior/Lead/Principal Note: By applying to the Machine Learning Engineer role, your resume will be reviewed by recruiters and hiring managers within the organization hiring machine learning engineers. Our aim is that you apply once and have your resume reviewed by various hiring teams. Salesforce is seeking an exceptional Machine Learning Engineer to help us leverage one of the world's largest datasets and transform it into incredible products that feel like magic. You will work on innovative AI applications and products. Brainstorm data product ideas with data scientists and engineers to build data products used by hundreds of millions of people daily. As a Machine Learning Engineer, you will cooperate with analysts, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to develop ML-driven decision-making data products. These products will enable our partners to impact their bottom line and solve critical business issues. Your Impact: - Work closely with a team of machine learning professionals on a variety of problems, including forecasting significant business metrics such as sales and capacity, churn and propensity modeling 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 advancement of our core products 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 enhance existing tools and build new ones. - Scale the operations of the data science team by building automation and libraries. Required Skills: - A related technical degree is required. - Four-plus years of industry experience and a passion for creating, analyzing, and deploying machine learning-based solutions. - Experience working as part of a team with advanced data science products. - A consistent record in building software and data products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies. - Applied experience designing, building, and optimizing data pipelines, architectures, and data sets. - Experience deploying, monitoring, and maintaining data science products in cloud environments such as AWS or Microsoft Azure. - Good understanding of Machine Learning methods and Statistics, including the ML project lifecycle and the challenges associated at each development stage. - Proficiency in writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker, and cloud platforms like AWS/GCP is ideal. - Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark. - Strong communication skills and the ability to interact well with other engineers, data scientists, and product managers. - Passion, curiosity, solutions-focused and independence. Benefits & Perks: For details about our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more, check our benefits site. Salesforce Information: Learn more by visiting our Salesforce Engineering Site. *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*. Accommodations: If you require assistance due to a disability when applying for open positions, please submit a request via our Accommodations Request Form. Posting Statement: At Salesforce, we believe that the purpose of business is to improve the state of our world. Each one 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 Washington-based roles, the base salary hiring range for this role is $146,600 to $280,200. For California-based roles, the base salary hiring range for this role is $160,000 to $305,600. The 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.