Senior ML Engineer
$148.5k - $223.9kSalesforce
Senior Machine Learning Engineer
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.
This role is for a Senior Machine Learning Engineer within the Trust Intelligence Platform team who will architect data-driven strategies for threat detection across the security organization. The ideal candidate will translate complex security threats into mathematical problems, implement advanced detection capabilities like probabilistic modeling and graph analytics, and operationalize production-grade machine learning models to minimize alert fatigue.
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.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. 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: 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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
$148.5k - $223.9k
...era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.This role is for a Senior Machine Learning Engineer within the Trust Intelligence Platform team who will architect data-driven strategies for threat detection across the...SeniorFull time- ...that will be used by 1000s of developers and enterprise users.ML performance, quality, and systems acumen-ship: Experience in tuning... ...$149,400 - $195,050 Qualifications 7+ years of software engineering experience building and operating enterprise systems, APIs, or...SeniorWork at office
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- Waymo is hiring engineers to build ML systems that train and improve pre-trained models for the Waymo Driver, tackling reinforcement learning at unprecedented scales. You will collaborate with researchers and modeling engineers to deploy RL techniques across CPU/GPU/TPU...Senior
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- Rhoda AI is hiring a Senior/Staff-level Research Engineer to ensure our robot-learning pipeline is reliable from data collection through model training, inference, and real-robot evaluation. You will build validation systems, observability, and robust operating practices...Senior
$204k - $259k
...team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop... ...validation of the Waymo Driver. In this role, you will report to a Senior Staff Engineering Manager. You will: Lead the design,...SeniorFull timeRemote work- Rhoda is building the next generation of generalist robotic systems in Mountain View, CA. We are seeking a senior or staff-level Research Engineer or ML Systems Engineer to make the robot-learning pipeline reliable and measurable from end to end. You will own the supported...Senior
- Docker, Inc. is looking for an ML Engineer to join their Intelligence Org, focusing on building security and governance capabilities. This hands-on role will involve designing and shipping machine learning systems and shaping technical direction. With a remote-first culture...SeniorRemote job
- As a Senior Machine Learning Engineer in our Digital Intelligence team, you will have the opportunity to work on exciting end-to-end machine learning... ...ranking problems, engineer scalable features, and engage in ML Ops work. Together, we will build brand new systems that...SeniorWork experience placement
- JPMorgan Chase & Co. is seeking a Senior Machine Learning Engineer-Digital Intelligence in the Digital Intelligence team. You will specialize in large... ..., and related algorithms, driving end-to-end ML solutions in a fast-paced environment. Ideal candidates bring...Senior
$227.87k
...enhance the Pinterest marketplace, primarily focusing on backend systems and statistical models. Candidates need strong software engineering skills and a graduate degree in a related field. The position is unique, allowing collaboration with a flexible in-office schedule...SeniorWork at officeFlexible hours- ...Candidates should possess a Master's degree in relevant fields and have at least three years of experience in software or systems engineering. Key skills include Wi-Fi products development, WLAN management protocols, and expertise in SQL and Python. The position permits...SeniorRemote work
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