Base Salary
$171k - $232k/yr
Responsibilities
- Design and build systems that improve machine learning scalability, usability, and performance.
- Collaborate with product managers, data scientists, and engineers to implement, refine, and design machine learning algorithms.
- Productionalize prototype models for customer use at scale, including training automation, prediction automation, data orchestration, and model comparison metrics.
- Enhance model implementations to improve prediction performance or reduce training time.
- Build machine learning and data processing tools that address data science workflow pain points.
- Develop end-to-end pipelines by refining features from diverse data sources.
- Automate, deliver, monitor, and improve machine learning solutions.
- Communicate technical results effectively to peers and leaders.
Requirements
- BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
- Proficiency in Scala, Java, and Python.
- Strong computer science fundamentals, including data structures, algorithms, performance complexity, and software performance implications of computer architecture.
- Experience with version control systems and workflows, including Git and GitHub, and the ability to write production-ready code.
- Knowledge of SQL, scikit-learn, NLTK, NumPy, Pandas, TensorFlow, and Keras.
- Knowledge of machine learning techniques such as classification, regression, and clustering, along with training, validation, and testing principles.
- Experience with stream processing, distributed computing systems, and technologies such as Spark, Hive, and Flink.
- Knowledge of AWS and Amazon SageMaker tools.
- Understanding of DevOps concepts and software container technologies such as Docker and Kubernetes.
- Ability to explore state-of-the-art technologies and apply them to customer-focused solutions.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- Position may be eligible for a cash bonus, equity rewards, and benefits according to applicable plans and programs.
- Base pay range is $171,000–$231,500 annually in Mountain View.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.