Lead Member of Technical Staff, Salesforce
Machine Learning Engineering
$200.8-276.1k
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$200.8-276.1k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- We are seeking a highly motivated, hands-on lead machine learning engineer with strong business understanding to define and execute the technical ML strategy
- Masters or PhD in a quantitative field
- Extensive experience (6+ years) in the end-to-end lifecycle of multi-model machine learning systems, from design and development to large-scale deployment
- Deep understanding and practical application of containerization (Docker) and workflow orchestration (Kubernetes, Apache Airflow) for automated ML pipelines
- Mastery of Python programming, including proficiency in leading ML frameworks (TensorFlow, PyTorch) and adherence to software engineering best practices
- Demonstrated success in implementing comprehensive MLOps methodologies, encompassing CI/CD pipelines, testing protocols, and model performance monitoring
- Solid foundation in feature engineering techniques and the implementation of feature stores
- Significant experience in developing and deploying generative AI solutions into production environments
- Expertise in infrastructure-as-code principles, monitoring tools, and big data technologies (Spark, Snowflake)
- Experience in formulating ML governance policies and ensuring adherence to data security regulations
- Successfully led machine learning initiatives, consistently delivering significant and quantifiable business outcomes
- Exceptional collaboration abilities, with a strong capacity to work effectively across Data Science, Platform Engineering, Research and Product teams
- Preferred skills:
- Expertise in advanced Natural Language Processing (NLP) methodologies
- Demonstrated experience conducting research or working collaboratively with Machine Learning (ML) research teams
- Previous experience in a mentoring role for junior engineers
- Track record of publications and/or patents in quantitative disciplines
What the job involves
- This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring
- The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework
- Define and drive the technical ML strategy, emphasizing robust and performant model architectures and MLOps practices
- Lead the end-to-end development of ML pipelines, focusing on automated retraining workflows and model optimization for cost and performance
- Own a portfolio of multiple machine learning pipelines within security and compliance
- Implement infrastructure-as-code, CI/CD pipelines, and MLOps automation with a focus on model monitoring and drift detection
- Design and implement comprehensive monitoring solutions for model performance, data quality, and system health
- Collaborate with Data Science, Data Engineering, Research, and Product Management teams to deliver scalable ML solutions with measurable impact
- Provide technical leadership in ML engineering best practices and mentor junior machine learning engineers
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
Financial District, 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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