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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 Machine Learning Engineers to build generative AI services, pipelines and components to enable the development and delivery of Einstein GPT vision. You will work on and ship impactful generative AI platform, applications and products used by millions of people every day.

The role:
Join our dynamic team at Salesforce and make a real impact with your code! We’re looking for a passionate Full Stack Engineer with a strong background in full-stack development and building production-level AI/ML frameworks and solutions to join our team who want to shape the future of our products and deliver exceptional experiences to our customers. Come be a part of our innovative and collaborative environment, where your skills will thrive and your ideas will be valued. Apply now and let’s build something extraordinary together!

We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves.

We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive.

What you’ll do:

• Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.

• Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

• Participate in periodic on-call rotations and be available for critical issues.

• Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

• Develop application code through the use of established methods that meet acceptance criteria

• Develops stories, data mappings, test cases, and success criteria that inform development

• Understands and can build/deploy code through approved channels

• Tests application code through the use of established methods, these tests should all be automated and include unit tests, integration tests, functional tests, acceptance tests, performance tests, and smoke tests

Required Skills:

• Min 3 years (MTS) & Min 8 years (SMTS) years of industry experience of ML engineering in building AI system and/or services.

• Extensive programming experience as a Full-stack engineer

• Commitment to software engineering best practices – design, testing, documentation, code reviews etc

• Good knowledge of Java or similar programming languages.

• Prior experience with GenAI, chatbot, or NLP-based applications

• Experience with LLMs and prompt engineering

• Strong experience building and applying machine learning models for business applications

• Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch

• Proven ability to implement, operate, and deliver results via innovation at large scale

• Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.

• Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.

Preferred Skills:

• Experience in developing deep learning models with complex business use cases and big amount of unstructured data.

• Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP.

• Expertise with applying LLMs, prompt design, and fine-tuning methods

• Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods

• Experience with conversational AI

• Fantastic problem solver; ability to solve problems that the world has not solved before

• Excellent written and spoken communication skills

• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

BENEFITS & PERKS

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with Trailhead.com

• Exposure to executive thought leaders and regular 1:1 coaching with leadership

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

• For more details, visit https://www.salesforcebenefits.com/

Accommodations

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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.