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BlackLine

Software Engineer AI/ML Ops

Reposted An Hour Ago
Hybrid
New York, NY
Junior
Hybrid
New York, NY
Junior
Design, build, and optimize scalable PySpark ETL pipelines and integrations (FiveTran, Plaid, APIs). Maintain production ML/LLM pipelines, monitor performance, automate testing, implement CDC and indexing for scale, and collaborate with stakeholders to integrate AI and big-data technologies.
The summary above was generated by AI

Make Your Mark:

We’re looking for a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You’ll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams. Responsibilities: - Data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance - Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem - Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy - Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets - Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies

You'll Get To:

We're looking for a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You'll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams. Responsibilities:

  • Data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
  • Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
  • Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
  • Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
  • Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies

What You'll Bring:

  • 2+ years of experience with programming skills in languages such as Python, Java, or Scala.
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow).
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure).
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management.
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation.
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking.
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads.
  • Proficiency in containerization technologies (e.g., Docker, Kubernetes).

We’re Even More Excited If You Have:

Operations and Infrastructure:

  • Proficient in scripting languages (e.g., Bash, python) for automation.
  • Experience with workflow orchestration tools (e.g., Apache Airflow).
  • Expertise in managing and optimizing cloud-based infrastructure.
  • Familiarity with DevOps practices and tools for automated deployment.
  • Understanding of network configurations and security protocols. Problem-solving and Critical Thinking:
  • Ability to define problems, collect and analyze data, and propose innovative solutions. Strong critical thinking skills to evaluate models, identify limitations, and Adaptability and Learning Agility:
  • Comfortable working in a fast-paced, rapidly evolving environment. Proactive in staying up to date with the latest trends, techniques, and technologies in AI/data science

Thrive at BlackLine Because You Are Joining:


  • A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
  • A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
  • A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.


BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.

Salary Range:

$145,000.00-$182,000.00

Pay Transparency Statement:

Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location.

In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.

We are committed to pay transparency and ensuring candidates have clear information about compensation expectations. For roles that include variable incentive components such as an Incentive Compensation Plan (ICP) or On-Target Earnings (OTE), the compensation structure may follow a split model – for example, a 50/50, 70/30, or 60/40 ratio between base salary and variable incentive.

BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.

Accommodations:

BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.

BlackLine London, England Office

London, United Kingdom, W1T 1RR

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