Senior Software Engineer (AI/ML)

Overview
Come join our collaborative and creative group of AI scientists and machine learning engineers as a Sr ML Engineer! You&aposll get to design and build AI systems that directly impact our customers via the Virtual Expert Platform (VEP). In this role, you&aposll be designing, building, and deploying machine learning models in AI-native apps, using everything from analytical algorithms to deep learning and generative AI. We&aposre excited for you to join us and do some seriously amazing work.
The team is at the heart of connecting our customers with expert guidance across all our products - QuickBooks, TurboTax, Mailchimp, and Credit Karma. You will build solutions that are at the heart of multi-billion-dollar Services businesses (e.g., QuickBooks Live, TurboTax Live), enhance Customer Success through AI and human expertise. The solutions leveraging AI and GenAI will involve forecasting, capacity planning, optimization, variance analytics recommendation systems and decision systems.
What you&aposll bring

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
• 3+ years of experience
• Knowledgeable with Data Science tools, ML serving and related frameworks (i.e. Python, scikit-learn, numpy, pandas, TensorFlow, Spark, Kubeflow, FastAPI).
• Knowledge of ML techniques (i.e. classification, regression,clustering).
• Understand machine learning principles (training, validation, etc.)
  
• Knowledge of data query and data processing tools (i.e. Spark, Databricks, SQL)
• Computer science fundamentals: data structures, algorithms, performance complexity,and implications of computer architecture on software performance (e.g., I/O andmemory tuning)
• Software engineering fundamentals: version control systems (i.e. Git, Github), dependency and virtual environment management (poetry, virtualenv); and ability to write production-ready code.
• Experience deploying highly scalable software supporting millions or more users
• Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
• Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non technical users
  

How you will lead

• Youll be expected to help conceive, code, and deploy machine learning and forecasting models at scale using the latest industry tools.

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Get Hired
• Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready via data wrangling and feature engineering.
• Develop and maintain web services for the AI team orchestrating various ML functions.
• Partner with data scientists to understand, implement, refine and design machinelearning and other algorithms.
• Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
• Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver