Senior Machine Learning Engineer, AI Research

Salesforce.Com Inc

United States

United States

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To enhance your application experience, please consider applying for a maximum of 3 roles within a 12-month period to avoid duplicating efforts. Job Category Software Engineering Join the Salesforce Team At Salesforce, the leading AI CRM, we believe in a world where technology and human potential come together for unprecedented success. We are committed to innovation and trust, making work better for everyone through AI advancements. Do you want to be part of a transformative company that values ambition and action? If so, you belong with us! Salesforce AI Research is seeking an exceptional Senior Machine Learning Engineer to join our dynamic team. This role is crucial for applying and delivering innovative AI solutions to critical business challenges. Collaborate with researchers, applied scientists, and engineers to bring cutting-edge AI applications and products to life. Your Impact: Collaborate with a dedicated team to tackle diverse business challenges with applied research. Lead initiatives to elevate our innovations to new levels of engineering maturity and architectural excellence. Develop and refine AI-powered products, workflows, tools, and automation. Create tools for monitoring data pipelines, ensuring data quality, and managing models. Establish best practices for coding standards, workflows, tools, and automation. Enhance existing tools and codebases, while building new solutions for modern challenges. Scale team operations through automation and library development. Required Skills: At least 2 years of industry experience with a strong passion for crafting, analyzing, and deploying AI-driven solutions. Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, DeepSpeed, vLLM, or similar). Proven track record of successfully shipping code and deploying AI/ML in production environments. Experience with AI model training and serving. Skills in designing, building, and optimizing AI model and data pipelines. Strong understanding of AI and Machine Learning fundamentals and their project life cycles. Ability to write high-quality, well-documented, and tested scalable code. Excellent communication skills and the ability to collaborate effectively with engineers, researchers, and product managers. A proactive and independent self-starter attitude. Preferred Qualifications: Experience in a research environment. M.S. in a relevant technical field such as Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related area. Join Us and Unleash Your Potential At Salesforce, we empower you to thrive in all aspects of life. Our benefits and resources are designed to help you find balance and succeed. Together, we will harness the power of AI to create exceptional experiences for customers worldwide. Apply today to shape the future and redefine what is possible for yourself and the technology we create. Commitment to Diversity Salesforce values equality and is committed to creating an inclusive workplace. We actively seek to eliminate discrimination and ensure all candidates are evaluated based on merit, competence, and qualifications without regard to race, religion, gender, or other protected statuses. This commitment applies at all stages of employment, including recruitment and hiring decisions. Compensation for this role is influenced by factors such as location, job level, and relevant experience. The standard base salary range for this position is $148,500 - $223,900 annually, with specific cities, like those in the San Francisco and New York City metropolitan areas, having a range of $178,900 - $246,000 annually. This reflects base salary only and does not include bonuses, stock options, or additional benefits.

United States

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English

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