Senior Member of Technical Staff Software Engineer, Salesforce

ML Infrastructure

$157.6-236.5k

Actual salary range is dependent on location. The range represents base salary only, and does not include company bonus or equity as applicable

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Tensorflow

Hadoop

Spark

PyTorch

Sagemaker

Spinnaker

Senior and Expert level

San Francisco Bay Area

World's leading CRM provider

Be an early applicant

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Be an early applicant

$157.6-236.5k

Actual salary range is dependent on location. The range represents base salary only, and does not include company bonus or equity as applicable

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Tensorflow

Hadoop

Spark

PyTorch

Sagemaker

Spinnaker

Senior and Expert 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.

Job

Company

Role

Who you are

6+ years of industry experience of ML engineering in building AI systems and/or distributed services
Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures and software design
Experience building distributed microservice architecture on AWS, GCP or other public cloud substrates
Experience using modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies
Proven ability to implement, operate, and deliver results via innovation at large scale
Strong programming expertise in JVM-based languages (Java, Scala) and Python
Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc
Grit, drive and a strong feeling of ownership coupled with collaboration and leadership

Desirable

Understanding of MLOps/ML Infra workflows, processes and ML components
Strong experience building and applying machine learning models for business applications
Working or academic knowledge with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies
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

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.1)

Trustpilot (1.5)

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 HQ

SoMa, San Francisco, CA

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.

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