Software Engineering SMTS

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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.

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.
 

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.

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.

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.