Machine Learning Engineer

To get the best candidate experience please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts Job Category Software Engineering Job Details About Salesforce Salesforce is the 1 AI CRM where humans with agents drive customer success together Here ambition meets action Tech meets trust And innovation isn t a buzzword it s a way of life The world of work as we know it is changing and we re looking for Trailblazers who are passionate about bettering business and the world through AI driving innovation and keeping Salesforce s core values at the heart of it all Ready to level-up your career at the company leading workforce transformation in the agentic era You re in the right place Agentforce is the future of AI and you are the future of Salesforce 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 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 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 Degree or equivalent relevant experience required Experience will be evaluated based on the core competencies for the role e g extracurricular leadership roles military experience volunteer roles work experience etc Unleash Your Potential When you join Salesforce you ll be limitless in all areas of your life Our benefits and resources support you to find balance and be your best and our AI agents accelerate your impact so you can do your best Together we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love Apply today to not only shape the future but to redefine what s possible for yourself for AI and the world Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment What does that mean exactly It means that at Salesforce we believe in equality for all And we believe we can lead the path to equality in part by creating a workplace that s inclusive and free from discrimination Any employee or potential employee will be assessed on the basis of merit competence and qualifications - without regard to race religion color national origin sex sexual orientation gender expression or identity transgender status age disability veteran or marital status political viewpoint or other classifications protected by law This policy applies to current and prospective employees no matter where they are in their Salesforce employment journey It also applies to recruiting hiring job assignment compensation promotion benefits training assessment of job performance discipline termination and everything in between Recruiting hiring and promotion decisions at Salesforce are fair and based on merit The same goes for compensation benefits promotions transfers reduction in workforce recall training and education