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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 were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces 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 AI Research is looking for both Senior / Lead level Data / ML Engineers with Python, SQL, PyTorch experience, to help us take one of the world’s most extensive datasets and transform it into amazing products that feel like magic. You will work on cutting-edge AI applications and products. You will work closely with the Salesforce AI research team brainstorming by driving continuous improvements in moving, aggregating, profiling, sampling, testing and analyzing data. You will help validate models so that we can bring meaningful AI models to power products used by hundreds of millions of people every day. Work with senior deep learning researchers and drive AI innovation for Salesforce products.

Responsibilities

Work with research scientists to support cutting-edge deep learning projects for both research and product purposes
Use open source or vendor tools such as Mechanical Turk and Crowdflower or build customized tools/systems to collect data
Analyze, curate and build data shapes for the model under validation
Identify incomplete data, improve quality of data, and integrate data from several data sources.
Perform data profiling, statistical testing, and reliability testing on data.
Build demos for our customers, conference presentations, and the Salesforce Research website
Identify and push efforts to improve deep learning/machine learning models
Partner end-to-end with Product Managers and Research Scientists to understand requirements and bring ideas to prototype
Harness operational excellence & continuous improvement with a can do leadership attitude.
Be responsible for the technical solution design, lead the technical architecture and implementation of data acquisition and integration projects, both batch and real time
Define the overall solution architecture needed to implement a layered data stack that ensures a high level of data quality and timely insights
Craft technical solutions and assemble design artifacts (functional design documents, data flow diagrams, data models, etc.)
Build data pipelines data processing tools and technologies in open source and proprietary products
Serve the team as a domain expert & mentor for ETL design, and other related big data and programming technologies
Proactively identify performance & data quality problems and drive the team to remediate them. Advocate architectural and code improvements to the team to improve execution speed and reliability
Design and develop tailored data structures
Support research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements
Clearly articulate pros and cons of various technologies and platforms in open source and proprietary products Implement proof of concept on new technology and tools to help the organization pick the best tools and solutions

Technology Stack

Platform: AWS, Google Cloud, Databricks, Heroku, Docker, Kubernetes
Programming languages: Python, JavaScript/HTML, SQL (open to other languages)
Deep learning frameworks: PyTorch, TensorFlow, NumPy, Pandas

Required Skills:

4+ years experience in data engineering
Build programmatic ETL pipelines with SQL based technologies and platforms
Solid understanding of databases, and working with sophisticated datasets
Data governance, verification and data documentation using current tools and future adopted tools and platform
Work with different technologies (Python, shell scripts) and translate logic into well-performing SQL
Perform tasks such as writing scripts, web scraping, getting data from APIs etc.
Automate data pipelines using scheduling tools like Airflow
Be prepared for changes in business direction and understand when to adjust designs
Experience writing production level SQL code and good understanding of Data Engineering pipelines
Experience with Hadoop ecosystem and similar frameworks
Previous projects should display technical leadership with an emphasis on data lake, data warehouse solutions, business intelligence, big data analytics, enterprise-scale custom data products
Knowledge of data modeling techniques and high-volume ETL/ELT design
Experience with version control systems (Github, Subversion) and deployment tools (e.g. continuous integration) required
Experience working with Public Cloud platforms like GPC, AWS, or Snowflake
Ability to work effectively in an unstructured and fast-paced environment both independently and in a team setting, with a high degree of self-management with clear communication and commitment to delivery timelines
A related technical degree required

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information
Check out our Salesforce Engineering Site.

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*

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.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 California-based roles, the base salary hiring range for this position is $200,800 to $276,100.