樱花动漫

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Senior Machine Learning Engineer

Category Software Engineering Location Mountain View, California; San Diego, California; New York, New York; Atlanta, Georgia Job ID 2024-55676

Company Overview

樱花动漫 is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

In this role, you鈥檒l be embedded inside a vibrant team of data scientists. You鈥檒l be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...

Responsibilities

  • Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready.
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Partner with data scientists to understand, implement, refine and design machinelearning and other algorithms.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
  • 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

Qualifications

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
  • 6+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
  • Understand machine learning principles (training, validation, etc.)
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users
  • Experience with GPU acceleration (i.e. CUDA and cuDNN)
  • 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

樱花动漫 provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is 161,500 – 219,000, Bay Area California $161,500 – 219,000, Southern California $149,500 – 202,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, 樱花动漫 conducts regular comparisons across categories of ethnicity and gender.

Career Path

Mobility plays an important role for our engineering community. In addition to vertical growth, our teams offer lateral growth opportunities. Whether it鈥檚 working on a different tech stack or product, 樱花动漫 will help you get to the next step in your career.

  • Software Engineer 1 & 2
  • Sr. Software Engineer
  • Staff Software Engineer
  • Sr. Staff Software Engineer
  • Principal Software Engineer
  • Distinguished Software Engineer

There's so much flexibility in terms of moving not just between teams, but between roles.

Lucy Shen Developer Advocate