Senior Machine Learning Engineer
Salesforce, Inc.San Francisco, CA, United States4 days ago
Job type
- Full-time
Job descriptionTo 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 EngineeringJob 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.Salesforce has breached 6 billion transactions a day and growing at an exponential rate! Due to this rapid growth evolving our core infrastructure software has never been more important. Our team is looking for a Machine Learning Engineer to join our world-class team to apply Machine Learning into our infrastructure software to increase speed, scale, and high availability. If you’re fired up about applying Machine Learning to cutting-edge compute, distributed multi-tenant systems, automating everything, and working with talented engineers, this is the team for you! About the Role : The Service Protection team in India at Salesforce.com is seeking talented Machine Learning Engineer to join our team to focus on system resiliency and high availability of our multi-tenant, on-demand cloud computing system. You will be working along side our talented distributed systems software engineer team to train and deploy machine learning models to detect anomalies and automate resolution in order to to solve real-world availability and scalability challenges. Responsibilities : Use infrastructure data to asses, design, implement, train, and test machine learning models to detect anomalies - Work closely with data and software engineers to apply machine learning model and scale to deploy anomaly detection models into our production infrastructure - Design and implement major pieces of the salesforce.com core infrastructure, delivering high quality, production ready code Basic Qualifications MS or PhD in Computer Science - 5+ years of experience in one or more of the following areas : machine learning, recommendation systems, data mining - Experience with deep neural networks and Gaussian processes - Experience working with ML frameworks (Tensorflow, PyTorch, Keras) - Experience working with Java and Python - A solid understanding of both probability and statistics - Strong mathematical skills and analytical skills Desirable Qualifications : Experience working with large amounts of data in a high throughput environment - Experience working with Kafka or messaging / streaming tools - Experience with agile software development, and short release cycle About Salesforce : Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. The company was founded on three disruptive ideas : a new technology model in cloud computing, a pay-as-you-go business model, and a new integrated corporate philanthropy model. These founding principles have taken our company to great heights, including being named one of Forbes’s “World’s Most Innovative Company” five years in a row and one of Fortune’s “100 Best Companies to Work For” eight years in a row. We are the fastest growing of the top 10 enterprise software companies, and this level of growth equals incredible opportunities to grow a career at Salesforce. Together, with our whole Ohana (Hawaiian for "family") made up of our employees, customers, partners and communities, we are working to improve the state of the world.Unleash Your PotentialWhen 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.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny 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.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 $157,600 to $216,700.### ### For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.### ###
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Senior Machine Learning Engineer • San Francisco, CA, United States
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