This role pays more than
51%
of similar roles. Most pay
$197,925–$249,750
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$224k
for comparable roles.
Based on 240 similar postings.
Employer
About Salesforce
Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing
Salesforce currently has
121 open roles
on FindRole.
Listed pay typically runs
$171,200–$260,100
across 105 roles with salary data.
As a Lead Member of Technical Staff in Machine Learning Engineering at Salesforce, you will join the Trust Intelligence Platform team to build and accelerate scalable machine learning pipelines for security engineering. Your role involves architecting data-driven strategies for threat detection, validating hypotheses quickly, and mentoring junior staff while building internal tooling that enhances team efficiency. You will use Python with TensorFlow or PyTorch, along with Spark/Pyspark, Snowflake, Flink, and Apache Kafka to handle high-volume logs and implement robust MLOps practices. The position requires extensive experience in cybersecurity data science, including feature engineering, containerization, and workflow orchestration. Ideal candidates have a strong background in quantitative fields and can communicate complex statistical concepts effectively to non-technical stakeholders.