Machine Learning Engineer - Senior/Lead/Principal
Washington - Bellevue
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Job CategoryData, Software Engineering
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.
Machine Learning Engineer - Senior/Lead/Principal
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 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.
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
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.
Check out our Salesforce Engineering Site.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
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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 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 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: https://www.salesforcebenefits.com.
Tags: Agile Airflow Architecture AWS Azure CI/CD Classification Clustering Data pipelines Data quality Docker Engineering GCP Machine Learning MLFlow Pandas Pipelines Python Scikit-learn Spark SQL Statistics Unstructured data
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