Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
Job Category : Software Engineering
Job Details : About Salesforce :
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.
Position : Lead Machine Learning Engineer (US Location)
Join the Marketing AI / ML Algorithms and Applications team within Salesforce's Marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's marketing initiatives, helping to promote our vast product portfolio to a global customer base, including +0% of the Fortune 500.
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.
Responsibilities :
• 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.
Position Requirements :
• 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.
Accommodations :
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement :
We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce .
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
For Washington-based roles, the base salary hiring range for this position is $176,800 to $243,100. For California-based roles, the base salary hiring range for this position is $1+2,+00 to $265,200.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link : https : / / www.
salesforcebenefits.com .
J-18808-Ljbffr
Last updated : 2026-0+-22
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
Job Category : Software Engineering
Job Details : About Salesforce :
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.
Position : Lead Machine Learning Engineer (US Location)
Join the Marketing AI / ML Algorithms and Applications team within Salesforce's Marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's marketing initiatives, helping to promote our vast product portfolio to a global customer base, including +0% of the Fortune 500.
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.
Responsibilities :
• 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.
Position Requirements :
• 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.
Accommodations :
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement :
We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com .
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce .
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
For Washington-based roles, the base salary hiring range for this position is $176,800 to $243,100. For California-based roles, the base salary hiring range for this position is $1+2,+00 to $265,200.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link : https : / / www.
salesforcebenefits.com .
J-18808-Ljbffr
Last updated : 2026-0+-22
💡 Quick Summary
Seeking a career-building opportunity? The Mlops engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Chicago offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
