salesforce
Lead ML / MLOps Engineer
salesforce, San Francisco, California, United States, 94199
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.Job CategorySoftware Engineering
Job DetailsAbout SalesforceWe’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.Lead Machine Learning Engineer (US Location)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.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 90% 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.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.ResponsibilitiesDefine and drive the overall technical ML engineering strategy for the organizationLead the design, development, and deployment of ML model pipelines, in collaboration with Data Science and Data Engineering teamsImplement infrastructure-as-code, CI/CD, monitoring, and automation to ensure reliable and efficient ML operationsOwn the MLOps lifecycle, including establishing best practices, overseeing model deployment processes, and handling occasional on-call support and incident response for production ML systemsCollaborate 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 impactSupport the rollout of ML features working with Product and MarketingProvide technical leadership to develop a team of ML Engineers, and mentor and guide junior ML Engineers to build a high-performing teamStay at the forefront of ML and data technologies and drive innovationPosition RequirementsMS or PhD in Computer Science, AI/ML, Software Engineering, or related field8+ years of experience building and deploying ML model pipelines at scaleExpert-level knowledge of containerization, orchestration, and workflow management technologies (e.g., Kubernetes, Docker, Apache Airflow) for deploying and managing complex ML pipelines at scaleAdvanced Python skills, including expertise in ML-specific libraries and best practicesExtensive 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 assuranceProficiency 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 technologiesExperience in defining and implementing ML governance policiesStrong communication skills, including the ability to explain complex technical concepts to diverse audiences and engage effectively with executive stakeholdersStrong problem-solving skills and ability to translate technical solutions into business valueProven track record of leading ML projects that deliver measurable business valueAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this
Accommodations Request Form .Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. 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, sexual 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 $192,900 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
Job DetailsAbout SalesforceWe’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.Lead Machine Learning Engineer (US Location)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.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 90% 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.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.ResponsibilitiesDefine and drive the overall technical ML engineering strategy for the organizationLead the design, development, and deployment of ML model pipelines, in collaboration with Data Science and Data Engineering teamsImplement infrastructure-as-code, CI/CD, monitoring, and automation to ensure reliable and efficient ML operationsOwn the MLOps lifecycle, including establishing best practices, overseeing model deployment processes, and handling occasional on-call support and incident response for production ML systemsCollaborate 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 impactSupport the rollout of ML features working with Product and MarketingProvide technical leadership to develop a team of ML Engineers, and mentor and guide junior ML Engineers to build a high-performing teamStay at the forefront of ML and data technologies and drive innovationPosition RequirementsMS or PhD in Computer Science, AI/ML, Software Engineering, or related field8+ years of experience building and deploying ML model pipelines at scaleExpert-level knowledge of containerization, orchestration, and workflow management technologies (e.g., Kubernetes, Docker, Apache Airflow) for deploying and managing complex ML pipelines at scaleAdvanced Python skills, including expertise in ML-specific libraries and best practicesExtensive 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 assuranceProficiency 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 technologiesExperience in defining and implementing ML governance policiesStrong communication skills, including the ability to explain complex technical concepts to diverse audiences and engage effectively with executive stakeholdersStrong problem-solving skills and ability to translate technical solutions into business valueProven track record of leading ML projects that deliver measurable business valueAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this
Accommodations Request Form .Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. 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, sexual 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 $192,900 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