Software Engineer AI/ML Ops

Get to Know Us:
It's fun to work in a company where people truly believe in what they're doing!
At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications.
Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.
Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.
Work, Play and Grow at BlackLine!
Make Your Mark:
In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages Engineers involved with artificial intelligence initiatives may be an appropriate match to this job family.
What You'll Bring:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.

• 3+ years in ML infrastructure, DevOps, and software system architecture; 4+ years in leading MLOps or AI Ops platforms.
• 3+ years of experience with Python or any other OOPL.

• Technical Skills:

• Strong 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).

• 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 have 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 2 days a week.
Salary Range:
USD $145,000.00/Yr. - USD $182,000.00/Yr.
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.
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.