Lead Machine Learning Engineer, Salesforce
World's leading CRM provider
Job no longer available
World's leading CRM provider
1001+ employees
Job no longer available
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- Bachelor's degree with 5-8 years of experience in software development or a related technical field
- Strong background in software development, with a comprehensive understanding of end-to-end processes
- Demonstrated leadership skills, coupled with effective communication abilities
- Proficiency in developing applications using Generative AI and Large Language Models, utilizing frameworks like Langchain and Llama-Index
- Hands-on experience in model development, optimization, and deployment of LLMs such as GPT, LLaMA, Mistral, Falcon, BERT, and Transformer-based architectures
- Expertise in Natural Language Processing, including text representation, language modeling, sequence-to-sequence architectures, and semantic understanding
- Experience in constructing conversation agents through LLMs and RAG-based applications, with a deep understanding of LLM agentic frameworks
- Proficiency in Python programming, with familiarity in tools like mlFlow, Airflow, Docker, and cloud platforms (AWS/GCP)
- Proven track record in building software and data products using modern development methodologies, including CI/CD, QA, and Agile
What the job involves
- The Solution Architect team, part of the Data and Analytics organization, is a group of versatile technologists with diverse backgrounds, ranging from Artificial Intelligence to Finance
- What unites us is our shared curiosity for driving product strategy with data, a passion for accomplishing the job, and a willingness to challenge limitations
- The DnA team, comprising machine learning professionals, collaborates with analysts, engineers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses
- Our mission is to develop data products driven by machine learning that empower stakeholders to impact the bottom line and address critical business challenges
- As a Generative AI Solution Architect within Salesforce's Data and Analytics (DnA) team, you'll serve as a crucial link between stakeholders and internal teams, providing expert guidance on architecting, designing, and presenting bespoke solutions tailored to our stakeholders' GenAI needs
- Leveraging Salesforce's cutting-edge products and services, you'll play a pivotal role in driving innovation and value creation
- We're on the lookout for a skilled solution architect specializing in Generative AI to join our dynamic DnA team
- As a Subject Matter Expert, you'll collaborate closely with Salesforce stakeholders, delving deep into their business and technical challenges
- Your role involves delivering insightful consulting and solutioning services, harnessing GenAI and AI technologies to address their unique requirements
- Through your engagement, you'll instill confidence in stakeholders, positioning our ML team within DnA as the ideal technology partner for their GenAI endeavors
- Key Responsibilities:
- Collaborate and Consult: Work closely with DnA stakeholders to gain a thorough understanding of their business and technical pain points, offering expert consulting and solutioning services leveraging GenAI/AI and related technologies
- Application Development: Facilitate the development and deployment of GenAI-powered applications using platforms like SageMaker, contributing to the fine-tuning, evaluation, and construction of Generative AI models
- Requirements Elicitation: Drive meaningful discussions with stakeholders, extracting technical and functional requirements through stakeholder workshops
- Solution Translation: Translate business requirements into robust technical solutions, collaborating closely with business analysts and other stakeholders
- Strategic Consulting: Provide strategic solution and technology consulting, identifying opportunities for integrating GenAI/AI-based solutions across various platforms
- POV Development: Develop detailed point of views outlining scopes, approaches, and business benefits
- Technical Leadership: Act as a subject matter expert on architectural aspects related to GenAI/AI, guiding and supporting internal teams
- Model Execution: Lead the execution of production GenAI models to address specific business challenges effectively
- Mentorship and Collaboration: Provide technical leadership, mentorship, and guidance to diverse teams within DnA, fostering collaboration across departments to deliver tailored solutions
- Pushing the Boundaries: Push the state of the art in evaluation of tool use, code generation, RAG, safety and toxicity evaluation, and model-based evaluation
- Design systems to empower customers to build the next generation of evaluations for their custom, domain-specific generative models
- Stay Updated: Stay updated on the latest tools and techniques in data science, leveraging technological advancements to address the unique needs of DnA stakeholders
Otta's take
Xav Kearney
CTO of Otta
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.
Insights
Some 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
Founders
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 & 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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