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Remote New

Machine Learning Engineer, LMTS

salesforce.com, inc.
parental leave, 401(k)
United States, New Hampshire
Oct 14, 2025

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 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 is the global leader in Customer Relationship Management (CRM), bringing companies and customers together in the digital age. Founded in 1999, Salesforce enables companies of every size and industry to take advantage of powerful technologies-cloud, mobile, social, IoT, AI, voice, and blockchain-to create a 360 view of their customers. We are committed to a diverse and inclusive workforce and a culture that provides great opportunities for all.

Responsibilities
* Lead the development of core AI/ML models and algorithms that drive key
product use cases
* Actively participate in cross-functional discussions and strategic decisions
related to AI research directions and product roadmaps.
* Collaborate with fellow technical leaders to ensure the successful and timely
delivery of AI/ML models and service integration.
* Stay up to date with the latest research and developments in the field of
AI/ML, and ensure that these advancements are properly incorporated into
our technology roadmap.
* Develop production code and advocate for the best coding and engineering
practices.
* Participate and influence full lifecycle development from ideation and data
exploration to deployment, monitor, and optimize AI/ML models in produc-
tion
* Participate in project planning, review, and retrospective sessions.
* Identify and mitigate risks in our plans and executions, especially at the in-
tersection of business and engineering
* Collaborate with other data teams to improve our data infrastructure, in-
cluding models, visualizations, and experimentation capabilities.
* Demonstrated experience in leading impactful AI product development at
scale.
Qualifications
* 10 or more years of ML and software experience
* Excellent problem-solving skills and ability to dive into evaluation metrics,
model architecture, code, test plans, project plans, deployments and opera-
tions
* Expertise with ML pipelines, algorithms, statistical methods, and analytics
to solve real-world engineering problems
* Proficient in SQL, Python, Java, PySpark, and experienced with Snowflake,
AWS SageMaker, DBT, and Airflow
* Experience building and maintaining fault-tolerant, high-performing data
pipelines and ensuring seamless AI/ML algorithm execution in production
* Strong communicator who simplifies complex problems and develops im-
pactful, creative solutions
* Ability to explain deep technical decisions and implementation to leadership
and less technical partners

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.

Accommodations

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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 workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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