Machine Learning Engineer - Senior/Lead/Principal

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Job Category

Data, Software Engineering

Job Details

We’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.

Note: By applying to the Machine Learning Engineer posting, recruiters and hiring managers across the organization hiring machine learning engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.

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 of people every day.

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.

Your Impact

• Work closely with a dedicated team of machine learning professionals on a wide range 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 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 build new ones
• Scale the operations of the data science team by building automation and libraries

Required Skills

• A related technical degree required
• 4+ years of industry experience and a passion for crafting, analyzing and deploying machine learning-based solutions
• Experience working as part of a team with mature data science products
• 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 ML project lifecycle and associated challenges at each stage of development
• Proficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker and Cloud Platforms such as 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 ability to interface well with other engineers, data scientists and product managers
• Passion, curiosity, solutions focus and independence

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information

Check out our Salesforce Engineering Site.

Accommodations

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Posting Statement

At 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.

For Washington-based roles, the base salary hiring range for this position is $146,600 to $280,200.

For California-based roles, the base salary hiring range for this position is $160,000 to $305,600.

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: .