Lead Search Relevance Machine Learning Engineer/Data Scientist, Salesforce
$192.9-265.2k
World's leading CRM provider
Open for applications
World's leading CRM provider
1001+ employees
Open for applications
$192.9-265.2k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- At least 8 years of hands-on experience in engineering positions passionate about Machine Learning, Information Retrieval, Recommendation systems, Personalization (p13n), Natural Language Processing, Learning to Rank, RAG
- Experience with AI frameworks like Tensorflow, Pytorch
- Understanding how to measure and quantify the quality of search relevance systems
- Experience deploying and managing AI solutions on cloud platforms such as AWS SageMaker and Amazon Bedrock
- Experience building applications with Large Language model and ability to fine tune them for enterprise scale
- Strong programming skills in Python and Java
- Strong understanding of Object Oriented design, advanced algorithms, data structures, etc
- Iteratively analyzing data, integrating new data sources, experimenting and optimizing
- Excellent oral and written communication skills
Desirable
- Master’s or PhD in a relevant field and/or experience in any of the following is highly regarded: Machine learning, data science and modeling techniques including classification, regression and Bayesian analysis
- Experience with Lucene/Solr or similar search systems preferable
- Experience working with large datasets, preferably using tools like Hadoop, Spark, Pig or Hive
- Good understanding of usability and visual design principles
- Understanding of A/B testing, expertise in metric definition and analysis
- Experience building Software as a Service (SaaS) applications
- Experience with Agile software development and Test Driven Development methodologies
What the job involves
- Salesforce is looking for an outstanding engineer ideally with a dual background in Data Science, Machine Learning and software engineering
- As part of the Search Relevance team, you will work on relevance features that drive the richness, quality and effectiveness of the search experience across all of Salesforce’s products
- You will be embedded in a multi-functional team of versatile technologists who all share a passion for building data-driven, well-designed and well-tested products and systems
- The role requires a strong team collaborator who is comfortable working closely with product and engineering using Agile principles
- Design, develop, bring to production at a large scale and support “intelligence” features on an outstanding search service that serves millions of requests daily on a diverse corpus of data including structured, unstructured and social feeds
- Design and operationalize usage metrics and patterns to find opportunities to improve relevancy of search
- Analyze and understand the different products, devices and use cases that are driven by search across salesforce and develop strategies for improving relevancy
- Deploy models at scale and assess impact from A/B testing (including interpretation of results)
- Develop new relevance features and techniques build upon the latest results from the research community
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company values
- Trust - We earn the trust of our customers, employees, and extended family through transparency, security, compliance, privacy, and performance. And we deliver the industry’s most trusted infrastructure
- Customer Success - So we champion them to achieve extraordinary things. We innovate and expand our business offerings to provide all our stakeholders with new avenues to achieve ever greater success
- Innovation - Our customers’ input helps us develop products that best serve their business needs. Providing continual technology releases and new initiatives gives our customers a competitive advantage
- Equality - We believe everyone should be seen, heard, valued, and empowered to succeed. Hearing diverse perspectives fuels innovation, deepens connections between people, and makes us a better company
- Sustainability – We are committed to bringing the full power of Salesforce to accelerate the world’s journey to net zero
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
People progressing
Joined as Recruiting Director - Futureforce University Recruiting, EMEA, and was promoted to Senior Director - EMEA & LATAM Recruiting, Futureforce after 3 years, and then again to Senior Director - Recruiting after 2 years. Now serve as COO - Employee Success EMEA.
Salary benchmarks
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Diversity, Equity & Inclusion at Salesforce
- Our goals:
- 50% of our U.S. employees will be made up of underrepresented groups (Women, Black, Latinx, Indigenous, Multiracial, LGBTQ+ employees, People with Disabilities, and Veterans) by 2023
- Double the U.S. representation of Black leaders (VP+) and increase our representation of underrepresented minority (Black, Indigenous, Latinx, and Multiracial) leaders by 50% by 2023
- 50% increase our U.S. representation of underrepresented minority (Black, Indigenous, Latinx, and Multiracial) employees by 50% by 2023
- We’ve met our representation goal nearly a full year early – today, 50.7% of our U.S. employees are members of underrepresented groups
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