Lead ML / MLOps Engineer, Salesforce

$192.9-265.2k

Salary range only for California-based roles

AWS
Docker
Kubernetes
GCP
Python
Airflow
Tensorflow
Azure
Kubeflow
PyTorch
Keras
Sagemaker
Senior and Expert level
Chicago
San Francisco Bay Area
Salesforce

World's leading CRM provider

Open for applications

Salesforce

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Open for applications

$192.9-265.2k

Salary range only for California-based roles

AWS
Docker
Kubernetes
GCP
Python
Airflow
Tensorflow
Azure
Kubeflow
PyTorch
Keras
Sagemaker
Senior and Expert level
Chicago
San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

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

Role

Who you are

  • MS or PhD in Computer Science, AI/ML, Software Engineering, or related field
  • 8+ years of experience building and deploying ML model pipelines at scale
  • Expert-level knowledge of containerization, orchestration, and workflow management technologies (e.g., Kubernetes, Docker, Apache Airflow) for deploying and managing complex ML pipelines at scale
  • Advanced Python skills, including expertise in ML-specific libraries and best practices
  • Extensive experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI)
  • Proven track record in implementing MLOps best practices, including CI/CD, automated testing, and code quality assurance
  • Proficiency in ML frameworks (e.g., TensorFlow, PyTorch, Keras) and MLOps tools (e.g., MLflow, Kubeflow)
  • Expert in cloud infrastructure management, including IaC, monitoring, and big data technologies
  • Experience in defining and implementing ML governance policies
  • Strong communication skills, including the ability to explain complex technical concepts to diverse audiences and engage effectively with executive stakeholders
  • Strong problem-solving skills and ability to translate technical solutions into business value
  • Proven track record of leading ML projects that deliver measurable business value

What the job involves

  • By driving state-of-the-art ML solutions for our internal marketing platforms, you'll directly contribute to enhancing the effectiveness of Salesforce's marketing efforts
  • Your ML expertise will play a pivotal role in accelerating Salesforce's growth
  • This is a unique chance to apply your passion for ML to drive transformative business impact on a global scale, shaping the future of how Salesforce engages with potential and existing customers, and contributing to our continued innovation and industry leadership in the CRM space
  • We are seeking an experienced Lead / Staff Machine Learning Engineer to support the development and deployment of high-impact ML model pipelines that measurably improve marketing performance and deliver customer value
  • In this critical role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to lead the design, implementation, and operations of end-to-end ML solutions at scale
  • As a hands-on technical leader, you will own the MLOps lifecycle, establish best practices, and mentor junior engineers to help grow a world-class team that stays at the forefront of ML innovation
  • This is a unique opportunity to apply your passion for ML and to drive transformative business impact for the world's #1 CRM provider, shaping the future of customer engagement powered by AI
  • Define and drive the overall technical ML engineering strategy for the organization
  • Lead the design, development, and deployment of ML model pipelines, in collaboration with Data Science and Data Engineering teams
  • Implement infrastructure-as-code, CI/CD, monitoring, and automation to ensure reliable and efficient ML operations
  • Own the MLOps lifecycle, including establishing best practices, overseeing model deployment processes, and handling occasional on-call support and incident response for production ML systems
  • Collaborate closely with Product and Marketing teams to understand business requirements, provide technical feasibility input, and ensure ML solutions are aligned with product roadmaps and deliver measurable business impact
  • Support the rollout of ML features working with Product and Marketing
  • Provide technical leadership to develop a team of ML Engineers, and mentor and guide junior ML Engineers to build a high-performing team
  • Stay at the forefront of ML and data technologies and drive innovation

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 headshot

Steph

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

-8% employee growth in 12 months

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 values

  • Trust - We earn the trust of our customers, employees, and extended family through transparency, security, compliance, privacy, and performance. And we deliver the industry’s most trusted infrastructure
  • Customer Success - So we champion them to achieve extraordinary things. We innovate and expand our business offerings to provide all our stakeholders with new avenues to achieve ever greater success
  • Innovation - Our customers’ input helps us develop products that best serve their business needs. Providing continual technology releases and new initiatives gives our customers a competitive advantage
  • Equality - We believe everyone should be seen, heard, valued, and empowered to succeed. Hearing diverse perspectives fuels innovation, deepens connections between people, and makes us a better company
  • Sustainability – We are committed to bringing the full power of Salesforce to accelerate the world’s journey to net zero

Company HQ

Financial District, San Francisco, CA

Leadership

Marc Benioff

(Chair & CEO)

Previously Senior Vice President at Oracle Corporation for 13 years.

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


People progressing

Joined as Recruiting Director - Futureforce University Recruiting, EMEA, and was promoted to Senior Director - EMEA & LATAM Recruiting, Futureforce after 3 years, and then again to Senior Director - Recruiting after 2 years. Now serve as COO - Employee Success EMEA.

Salary benchmarks

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Diversity & Inclusion at Salesforce

  • Our goals:
  • 50% of our U.S. employees will be made up of underrepresented groups (Women, Black, Latinx, Indigenous, Multiracial, LGBTQ+ employees, People with Disabilities, and Veterans) by 2023
  • Double the U.S. representation of Black leaders (VP+) and increase our representation of underrepresented minority (Black, Indigenous, Latinx, and Multiracial) leaders by 50% by 2023
  • 50% increase our U.S. representation of underrepresented minority (Black, Indigenous, Latinx, and Multiracial) employees by 50% by 2023
  • We’ve met our representation goal nearly a full year early – today, 50.7% of our U.S. employees are members of underrepresented groups

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