Machine learning Engineer

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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.

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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. Know your rights: workplace discrimination is illegal. 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.

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