Senior Software Engineer AI

BlackLinePleasanton, CA
Hybrid

About The Position

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.

Requirements

  • Knowledge of specific technical and/or operational practices
  • Niche knowledge specialist
  • Strong ability to adapt to changing priorities and requirements
  • Intermediate level professional
  • Works to achieve results measurable on short and longer term operational focus
  • Focus on feature and function of product/service
  • Frequent operational/tactical influence
  • Executes and explains/applies policies and processes
  • Accountable to current year functional deliverables or results
  • Applies playbook solutions to a variety of in-the-moment situations
  • Proactively investigates and solves for expected as well as non-conforming issues

Nice To Haves

  • Engineers involved with artificial intelligence initiatives may be an appropriate match to this job family.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • Professional development seminars
  • Inclusive affinity groups
  • Short-term and long-term incentive programs
  • Robust offering of benefit and wellness plans
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