Machine Learning Engineer, Salesforce

AI Platform Services

$137.1-265.2k

AWS
Docker
Kubernetes
GCP
Kafka
Tensorflow
Hadoop
Spark
PyTorch
Sagemaker
Spinnaker
Mid and Senior level
San Francisco Bay Area
Salesforce

World's leading CRM provider

Open for applications

Salesforce

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Open for applications

$137.1-265.2k

AWS
Docker
Kubernetes
GCP
Kafka
Tensorflow
Hadoop
Spark
PyTorch
Sagemaker
Spinnaker
Mid and Senior level
San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

To empower companies to connect with their customers in a whole new way.

Role

Who you are

  • 4+ years of industry experience of ML engineering in building AI system and/or services
  • Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale
  • Distributed Machine Learning technologies on a modern containerized deployment stack
  • Using Kubernetes, Spinnaker, and other technologies
  • Experience building Distributed microservices on AWS, GCP or other public cloud
  • Substrates
  • Experience with LLMs and prompt engineering
  • Strong experience building and applying machine learning models for business applications
  • Proven ability to implement, operate, and deliver results via innovation at large scale
  • Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc
  • Good working knowledge of Deep Learning and Machine Learning algorithms
  • Grit, drive and a strong feeling of ownership coupled with collaboration and leadership

Desirable

  • Experience in developing deep learning models with complex business use cases and big amount of unstructured data
  • Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP
  • Expertise with applying LLMs, prompt design, and fine-tuning methods
  • Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods
  • Experience with conversational AI
  • Fantastic problem solver; ability to solve problems that the world has not solved before
  • Excellent written and spoken communication skills
  • Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

What the job involves

  • Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production
  • Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis
  • Participate in periodic on-call rotations and be available for critical issues
  • Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production
  • Participate in meal conversations with your team members about really important topics, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?

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 headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

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

Leadership

Marc Benioff

(Chair & CEO)

Previously Senior Vice President at Oracle Corporation for 13 years.

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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