Senior Software Engineer, AI

Blackline

Hybrid

Quick summary

Work type: Hybrid
Location: Pleasanton, CA
Posted: 3 days ago
Closes: Jun 30, 2027
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $200k

$150k most similar roles pay here $252k

This listing doesn't post a salary. Most similar roles pay $159,687–$240,437.

Based on 240 similar postings.

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About Blackline

BlackLine is a cloud-based financial operations management platform that automates and controls the financial close process for enterprises, including account reconciliation, journal entries, and financial reporting. Industry: Financial Technology & Accounting Software

Blackline currently has 21 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer, AI

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As a Senior AI/ML Engineer on our dynamic team, you will lead the development of scalable data pipelines and infrastructure for next-generation accounting agents using PySpark ETL processes and robust API integrations with tools like FiveTran and Plaid. Your day-to-day involves optimizing performance, ensuring data accuracy, and collaborating closely with stakeholders to integrate cutting-edge AI technologies. You’ll also mentor senior engineers, drive design reviews, and set governance standards for ML pipelines while implementing CI/CD for model deployment and managing cloud-based infrastructure. Expertise in Python, TensorFlow, PyTorch, Airflow, Kubeflow, and observability tools like Prometheus is essential, as you work within a fast-paced environment to solve complex business problems with AI-driven solutions.

Skills

Python TensorFlow PyTorch scikit-learn Airflow Kubeflow MLflow GCP AWS Azure LangChain CI/CD IaC DevSecOps Prometheus Grafana Docker Kubernetes Bash Apache Airflow

What you'll do

Lead the development of scalable data pipelines using PySpark and other tools.
Manage robust integrations with client data sources via APIs and third-party tools.
Ensure high performance and reliability by monitoring and automating testing processes.
Optimize large-scale datasets for better performance through advanced techniques like CDC.
Define and manage CI/CD pipelines for automated deployment of AI solutions.

What we're looking for

3+ years of experience with Python, Java, or Scala programming.
Expertise in ML frameworks like TensorFlow, PyTorch, and orchestration tools such as Airflow, Kubeflow.
Proven track record operating production pipelines for ML systems on cloud platforms (GCP, AWS, Azure).
Deep familiarity with LangChain, LangGraph, ADK, or similar agentic system runtime management.
Strong skills in CI/CD, IaC, and DevSecOps integrating testing, compliance, and deployment automation.

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