Senior/Lead 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 AI Research is looking for a Machine Learning Engineer to design and build cutting-edge AI/ML solutions powering enterprise AI products. In this role, you will play a key role across the lifecycle of ML components – from ideation to deployment – and work closely with research, engineering and product partners to turn innovative ideas into customer-facing features.

Learn more about Salesforce AI Research at https://www.salesforceairesearch.com - join us to transform research innovations into real customer impact.

Your typical day looks like this:

• Design, implement and evaluate LLM-based and classical ML systems for enterprise use cases.
• Transform research prototypes into AI/ML services that generalize across Salesforce customers at scale.
• Collaborate with fellow engineers, researchers and cross-functional partners to build data, model and deployment pipelines.
• Partner with product managers and stakeholders to understand customer needs and influence product direction.
• Lead technical discussions, drive prioritization and ensure timely delivery of ML features.
• Mentor junior engineers on technical design, implementation and engineering best practices.

Required Qualifications:

• MS or Ph.D. in a quantitative discipline with 3+ years of industry experience, or BS with 5+ years of relevant industry experience, or equivalent practical experience building ML production systems.
• Strong experience designing, training and evaluating machine learning models and working with large-scale datasets. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience building scalable, production-grade machine learning services.
• Experience in one or more ML domains such as LLMs, NLP, deep learning, or classical machine learning.
• Experience applying ML techniques in real-world applications such as conversational AI, retrieval-augmented generation (RAG), synthetic data generation, content classification, or recommendation systems.
• Familiar with software engineering methodologies (agile, scrum) and best practices (version control, testing, CI/CD, code review, etc.).
• Strong communication skills, comfortable leading technical discussions and aligning project priorities across cross-functional partners such as engineers, researchers, and product managers.

Preferred Qualifications:

• Experience designing and building microservices, familiar with Kubernetes/Docker/RESTful API, etc.
• Experience with cloud platforms such as AWS/GCP/Azure.
• Knowledge of enterprise SaaS space.

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 wo