Salesforce Logo

Salesforce

Lead Software Engineer

Posted 9 Days Ago
Be an Early Applicant
Remote
2 Locations
184K-276K Annually
Senior level
Remote
2 Locations
184K-276K Annually
Senior level
Lead a team of machine learning professionals to develop high-visibility data products, improve engineering practices, and enhance data pipeline tools.
The summary above was generated by AI

To 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 Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Lead Software Engineer in San Francisco, CA:

Job Duties: Work closely with a dedicated team of machine learning professionals on a wide range of problems including forecasting significant business metrics such as sales and capacity, churn and propensity modeling to retain and grow our customer base, clustering and classification using both structured and unstructured data. Help create high-visibility data products and decision-making tools for Salesforce’s leaders. Lead the charge on taking our core products to the next level in terms of engineering maturity and architecture. Refine and develop new data science products, workflows, tools, and automation. Build tools to monitor data pipeline performance, data quality and models in production. Establish best practices with coding standards, workflows, tools, and product automation. Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones. Scale the operations of the data science team by building automation and libraries. ^HQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required. 

Minimum Requirements: Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and four (4) years of progressively responsible experience in the job offered or in any occupation in related field. 

A related technical degree required (Computer Science, Engineering (any field)).

Special Skill Requirements: (1) Python; (2) SQL; (3) PyTorch; (4) Tensorflow; (5) Deep Learning; (6) Machine learning; (7) Numpy; (8) Pandas; (9) Optimization Theory; (10) Probability Theory and Statistics; and (11) Linear Algebra. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required.

Salary: $184,000.00 - $276,100.00 per annum.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job# 23-143773. Salesforce is an Equal Opportunity & Affirmative Action Employer.

#LI-DNI

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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.

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 $184,000 to $276,100.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

Top Skills

Deep Learning
Linear Algebra
Machine Learning
Numpy
Optimization Theory
Pandas
Probability Theory And Statistics
Python
PyTorch
SQL
TensorFlow

Salesforce Irvine, California, USA Office

200 Spectrum Center Drive, Irvine, California, United States, 92618

Salesforce Santa Monica, California, USA Office

1442 2nd Street, Santa Monica, California, United States, 90401

Similar Jobs

6 Days Ago
Remote
Hybrid
2 Locations
176K-201K Annually
Senior level
176K-201K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead Software Engineers at Capital One will design, code, and test software projects, focusing on system architecture and team leadership.
Top Skills: AWSGCPAzureMumpsProfile Scripting LanguageSQL
8 Days Ago
Remote
United States
161K-201K
Senior level
161K-201K
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Senior Lead Software Engineer for Android, you'll develop innovative sports betting features, mentor engineers, and ensure high-quality code across platforms, driving technical excellence and customer satisfaction.
Top Skills: AndroidAPIsJetpack ComposeKotlinMviMvvmWebsockets
11 Days Ago
Remote
United States
137K-270K Annually
Senior level
137K-270K Annually
Senior level
Big Data • Cloud • Software • Database
Lead a team of software engineers focusing on application modernization, managing projects, mentoring, and contributing to code quality and architecture.
Top Skills: AICode Analysis ToolsJavaMicrosoft Sql ServerMongoDBMySQLOraclePostgresPython

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account