Software Engineering PMTS - ML Engineer

Salesforce; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Salesforce, Inc. is seeking a Senior Staff Data Engineer specializing in real-time telemetry to build high-velocity streaming pipelines powering internal feature platforms. You will tackle late-arriving data, stateful aggregations, and integration of diverse datasets to enable instant model reactions.

You will design ingestion pipelines, implement stream processing apps (Flink/Spark), and collaborate with ML teams to ensure feature freshness and correctness for real-time inference.

Qualifications

• 15+ years of data engineering experience, with a focus on high-throughput stream processing and real-time analytics.
• Strong expertise in streaming frameworks (Flink, Spark Streaming) and event brokers (Kafka, AWS Kinesis).
• Proficiency in Python, Java, or Scala; experience with real-time feature stores (Zipline, Feast).

Responsibilities

• Design upstream event telemetry ingestion pipelines for high-fidelity data capture.
• Build and maintain real-time streaming applications to compute feature aggregations.
• Integrate diverse third-party datasets into unified streaming feature definitions.
• Resolve bottlenecks related to event ingestion into the Zipline platform.
• Define and deploy live feature contracts and monitoring for online features.
• Collaborate with ML engineers to align telemetry schemas with real-time inference needs.

Skills

Apache Flink

Apache Spark Streaming

Apache Kafka

AWS

Python/Java/Scala

Tools

Zipline

Feast

AWS

Job description

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Team:

Digital Enterprise Technology (DET) at Salesforce builds the internal engines that power our business. The Machine Learning & Innovation (MLI) team is the applied science and infrastructure strike‑force responsible for “Foundry,” our unified ML/AI Platform. We operate as “Customer Zero,” building the high‑velocity, real‑time streaming feature platforms and recommendation models that power internal products like the Events App and enterprise‑wide personalization.

Role Overview:

As a Senior Staff Data Engineer specializing in real‑time telemetry, you will build the high‑velocity streaming pipelines that feed our online feature platforms. You will tackle the hardest problems in stream processing—managing late‑arriving data, maintaining stateful aggregations, and integrating complex third‑party datasets—to ensure our machine learning models react to user behavior instantly.

What You’ll Do:

• Design and implement robust upstream event telemetry ingestion pipelines, ensuring high‑fidelity data capture from source systems.
• Build and maintain complex stream processing applications (e.g., Flink, Spark Streaming) to compute real‑time feature aggregations.
• Integrate diverse third‑party datasets (e.g., demographic and firmographic data) into unified streaming feature definitions.
• Directly resolve critical engineering bottlenecks related to event ingestion into the Zipline feature platform.
• Define and deploy live feature contracts and monitoring systems to guarantee the freshness and correctness of online features.
• Collaborate with ML engineers to ensure streaming telemetry schemas perfectly align with the requirements of real‑time inference models.

What You Bring:

• 15+ years of experience in data engineering, with a strong specialization in high‑throughput stream processing and real‑time analytics.
• Deep expertise in streaming frameworks (Apache Flink, Apache Spark Streaming) and event brokers (Apache Kafka, AWS Kinesis).
• Strong proficiency in Python, Java, or Scala.
• Proven experience working with real‑time feature stores (Zipline, Feast) and managing the complexities of stateful stream computation.
• Familiarity with AWS infrastructure and streaming data architectures.
• A strong focus on system resilience, low‑latency processing, and exact‑once/at‑least‑once delivery guarantees.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.