Machine Learning Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Data Science team in Salesforce’s Digital Success and Scale (DSS) organization creates data science products that drive customer success. The team works with executives, success managers, sales, renewal managers, and product managers across DSS and Salesforce to discover and analyze opportunities for growth and to provide actionable insights supporting business decision making.

Role:

We are looking for machine learning engineers who are passionate about building scalable production machine learning applications. As a key member of the data science team you will have immense opportunities to work on a broad range of business/technical problems and technologies, build machine learning models, design/automate/deploy production machine learning pipelines. You will be working with a group of world-class data scientists, program managers and business analysts to build intelligent services for both internal teams and customer-facing products. We share a passion for problem solving, new technologies, and learning, so you will be highly encouraged to explore new technologies and come up with innovative solutions that could take the team’s data science machine learning engineering capability to the next level.

Requirements:

In detail, you will:

• Work with large amounts of structured and unstructured data.
• Work with internal stakeholders to explore and understand business data.
• Apply complex analytical techniques to derive actionable insights.
• Design and implement data science applications.
• Design, build, automate, deploy and maintain machine learning production pipelines.
• Implement machine learning model lifecycle management framework.
• Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvement
• Collaborate with other salesforce data science and engineering teams to establish, formulate and build insight-based feature store.
• Author technical documentation and reports to communicate process and results

Qualifications:

Preferred Experience and Skills:

• Bachelor or Masters degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in machine learning and statistical modeling
• 3-5 years hands on experience in building data science applications and machine learning pipelines.
• Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.
• Working knowledge of one or more scientific programming languages/packages: Python or R
• Development experience in at least one programming language: Python, Java, C++, etc.
• Knowledge of common machine learning and statistics frameworks and concepts
• Experience with large data sets, distributed computing and cloud computing platforms.
• MLOps experience is highly regarded.
• Experience with Automation tools like Airflow is plus
• Salesforce experience/certification is a plus but not required.

Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world.

Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being named one of the FORTUNE 100 Best Companies to Work For® for 12 years in a row.

There are those who choose to work with the best and brightest. And then, there are those who want to do more than just a job. They are the ones improving lives, not only their careers. Having an impact now instead of later. Doing something that’s so much bigger than themselves, an industry, and their company.

We believe everyone can be a Trailblazer. Join Salesforce and discover a future of new opportunities.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. 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. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.

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 Colorado-based roles: Minimum annual salary of $[128,600]. You may also be entitled to receive [incentive compensation] bonus, restricted stock units, and benefits.