Lead Machine Learning Engineer, Salesforce
Agentforce Guardrails
$172.5-285.8k
Salary varies depending on location
World's leading CRM provider
Open for applications
World's leading CRM provider
1001+ employees
Open for applications
$172.5-285.8k
Salary varies depending on location
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 8+ years of industry experience in ML engineering, building AI systems and/or 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 with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop
- Strong programming skills in Python or Java, with experience in building ML pipelines
- Proven ability to innovate and deliver results at scale
- Basic understanding of deep learning and machine learning algorithms
- Experience with LLMs and prompt engineering
- Proven experience building and applying machine learning models to business applications
Desirable
- Expertise in retrieval systems and search algorithms
- Familiarity with vector databases and embeddings
- Experience developing applications/services for complex business use cases and large amounts of unstructured data
- Expertise in applying LLMs, prompt design, and fine-tuning methods
- Experience with conversational AI
- Excellent problem-solving skills; the ability to tackle problems the world has yet to solve
- Strong written and verbal communication skills
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
What the job involves
- Salesforce is looking for a Lead Machine Learning Engineer to be part of the team leveraging advanced generative AI services, pipelines, and components to drive the development and delivery of Agentforce
- This includes building citations and guardrails for LLMs. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day
- You will play a critical role in integrating generative AI, building citations and guardrails for LLMs into Agentforce, and using the latest LLM algorithms and technologies to build the next wave of intelligent agents
- You will participate in the end-to-end AI product development lifecycle, designing and developing scalable generative AI systems and services
- You will collaborate with AI Platform Engineers and Software Engineers to define requirements and develop reusable workflows and ML pipelines
- Build and own end-to-end scalable services that can be integrated with numerous applications, support thousands of tenants, and operate 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 to resolve critical issues
- Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production
- We are a group of data scientists, machine learning engineers, and software engineers who are passionate about designing products and building intelligent agents that work alongside humans to drive customer success 24/7
- We love to learn, teach, and help each other, and we seek individuals with a collaborative attitude and openness to others' ideas
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
-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 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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