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Principal Machine Learning Engineer at Salesforce. Location Information: Germany - Hamburg - Remote. . 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. 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.. Responsibilities. . ● Lead the development of core AI/ML models and algorithms that drive key product use cases. ● Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps. . ● Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models and service integration. . ● Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap. . ● Develop production code and advocate for the best coding and engineering practices.. ● Participate and influence full lifecycle development from ideation and data exploration to deployment, monitor, and optimize AI/ML models in production. ● Participate in project planning, review, and retrospective sessions. . ● Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. ● Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities. . ● Demonstrated experience in leading impactful AI product development at scale.. . Qualifications. ● 10 or more years of ML and software experience. ● Excellent problem-solving skills and ability to dive into evaluation metrics, model architecture, code, test plans, project plans, deployments and operations. ● Expertise with ML . pipelines. , algorithms, statistical methods, and analytics to solve real-world engineering problems. ● Proficient in SQL, Python, Java, . PySpark. , and experienced with Snowflake, AWS SageMaker, DBT, and Airflow. ● Experience building and maintaining fault-tolerant, high-performing data pipelines and ensuring seamless AI/ML algorithm execution in production. ● Strong communicator who simplifies complex problems and develops impactful, creative solutions. ● Ability to explain deep technical decisions and implementation to leadership and less technical partners. Accommodations. If you require assistance due to a disability applying for open positions please submit a request via this . Accommodations Request Form. .. We warmly invite applications from individuals with a severe disability status (Schwerbehinderung). Salesforce is committed to equality and creating a workplace that reflects society. We set ambitious goals for representation, emphasize accessibility and inclusion, and continuously learn and improve. Learn more about our inclusion initiatives here (https://www.salesforce.com/company/accessibility/workplace-resources/#ally-sf-benefits). In 2019, Salesforce joined The Valuable 500 to champion disability inclusion in business leadership.. 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.. .