Sr Software Engineer, AI - Blackline

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!

We’re just starting out on this journey with Generative AI and looking to build the founding AI/ML team that will bring the power of AI to BlackLine’s customers. 

We are seeking a highly skilled and motivated Senior AI Engineer to join our dynamic team. As a Senior AI Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning models and algorithms. You will be responsible for turning raw data into actionable insights, contributing to the development of innovative solutions, and driving advancements in artificial intelligence. 

Algorithm Development:

• Design, develop, and implement machine learning algorithms and models to solve complex business problems.
• Optimize existing machine learning models for improved accuracy, efficiency, and scalability.
• Stay abreast of the latest advancements in machine learning and incorporate them into the development process.

Data Processing and Analysis:

• Preprocess and clean large datasets to extract meaningful patterns and insights.
• Collaborate with data engineers to ensure the availability of high-quality, well-organized data for model training.
• Conduct exploratory data analysis to identify relevant features and patterns.

Model Training and Evaluation:

• Train, validate, and fine-tune machine learning models using a variety of algorithms.
• Evaluate model performance using appropriate metrics and make necessary adjustments.
• Implement techniques for model interpretability and explainability.

Deployment and Integration:

• Deploy machine learning models to production environments, ensuring scalability and reliability.
• Collaborate with software engineers to integrate machine learning models into existing systems and applications.
• Monitor and maintain deployed models, making updates as needed.

Collaboration:

• Work closely with cross-functional teams, including data scientists, software engineers, and domain experts, to understand business requirements and develop solutions.
• Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.
• Participate in code reviews and provide constructive feedback to team members.

Performance Optimization:

• Identify and implement optimizations to enhance the performance and efficiency of machine learning models in production.
• Conduct performance analysis and implement improvements based on resource utilization metrics.

Security and Compliance:

• Implement security measures to protect machine learning systems and data.
• Ensure compliance with regulatory requirements and industry standards related to machine learning and data privacy.

Bachelor's or master's degree in computer science, Machine Learning, Data Science, or a related field. 

Technical Skills:

• Participate in code reviews and provide constructive feedback to team members.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms, such as AWS Sagemaker, Azure ML, or Google Cloud vertex.
• Experience with workflow orchestration tools (e.g., Apache Airflow).
• Expertise in working with cloud-based infrastructure.

Data Skills:

• Expertise in data preprocessing, cleaning, and feature engineering.
• Familiarity with SQL and database systems.
• Experience with big data technologies (e.g., Hadoop, Spark).

Problem-solving and Critical Thinking:

• Ability to define problems, collect and analyze data, and propose innovative solutions.
• Strong critical thinking skills to evaluate models and identify limitations.

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.

• Prior working experience with appliances such as firewalls, routers and load balancers.

• 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 2 days a week.

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.

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.