Lead Machine Learning Engineer, Salesforce

Full Stack

$189.1-285.8k

Salary dependent on location + Employee stock purchasing program

Python

Tableau

Java

Senior and Expert level

San Francisco Bay Area

Office located in Palo Alto, CA

World's leading CRM provider

Be an early applicant

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Be an early applicant

$189.1-285.8k

Salary dependent on location + Employee stock purchasing program

Python

Tableau

Java

Senior and Expert level

San Francisco Bay Area

Office located in Palo Alto, CA

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

To empower companies to connect with their customers in a whole new way.

Job

Company

Role

Who you are

Adaptable and Innovative Mindset: Fearless about learning new technologies and excited to work in a fast-paced, ambiguous environment. Possess a problem-first approach with a careful and principled methodology for building resilient systems
Expertise in shaping experiences with LLMs and agents
Proficient with evaluation of ML model performance
Strong Programming and Distributed Systems Development Skills: Proficient in Python, Java, or other languages. Experience building full-stack applications with expertise in either backend, frontend, or both. Ability to handle error cases, write asynchronous code, and work effectively with streaming data. Professional experience in developing, scaling, and maintaining applications at a production scale
Experience with Modern Software Development Practices: Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments. Knowledgeable about queues, message buses, and event-driven architectures

What the job involves

Salesforce is seeking a passionate and highly skilled AI/SW Engineer to join our team in Tableau developing the #1 AI-powered analytics agents for helping customers see, understand, and act on data
On the Analytics Agent team, you will work at the forefront of agentic application development, building groundbreaking, multi-modal products and tools that transform how people engage with data
This is an opportunity to contribute to a dynamic, fast-paced environment, applying your expertise to build scalable, data-intensive systems for analytics
We're looking for curious and motivated engineers who want to play a significant role in pushing the boundaries of what AI agents can achieve
Collaborate with product managers, fellow engineers, and researchers to build next-generation generative AI products and prototypes to make our customers successful
Propose and rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge analytics agents
Build and shape user experiences using context engineering and generative AI capabilities
Design and build scalable and performant agentic systems, taking throughput and latency into account, recognizing how and where to apply parallel processing, stream processing, and asynchronous I/O
Evaluate the performance and quality of the agentic solutions you are building against customer use cases
Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and explainability
Implement logging, tracing mechanisms, and tools to facilitate debugging, diagnostics, and performance tracking
Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems

Application process

End Date: February 27, 2026

Our take

Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.

By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.

Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.1)

Trustpilot (1.4)

Company

Funding (last 2 of 4 rounds)

Jun 2001

$46.9m

SERIES D

Nov 1999

$13.2m

SERIES C

Total funding: $64.5m

Company benefits

With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Company HQ

SoMa, San Francisco, CA

Leadership

Marc Benioff

(Chair & CEO)

Previously Senior Vice President at Oracle Corporation for 13 years.

Parker Harris

(CTO)

Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 291 more jobs at Salesforce