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Senior Machine Learning Engineer @Treasuredata

[Hiring] Senior Machine Learning Engineer @Treasuredata

Mar 25, 2025 - Treasuredata is hiring a remote Senior Machine Learning Engineer. 💸 Salary: unspecified. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As a Senior Machine Learning Engineer at Treasure Data, you will be instrumental in developing cutting-edge AI and machine learning solutions that drive personalized customer experiences. You will collaborate closely with cross-functional teams to innovate and implement scalable ML models and algorithms, leveraging our robust data platform to extract meaningful insights and deliver impactful business outcomes.

  • Design, develop, and deploy scalable machine learning models and algorithms that enhance customer data insights and personalization capabilities.
  • Collaborate with data scientists, product managers, and engineers to understand business requirements and translate them into technical solutions.
  • Optimize and tune machine learning models for performance and scalability in a high-volume, real-time data environment.
  • Implement best practices in machine learning engineering, including data preprocessing, feature engineering, model evaluation, and deployment.
  • Work with large-scale datasets using distributed computing frameworks to extract, transform, and load data for machine learning workflows.
  • Research and prototype new machine learning algorithms and techniques to improve model accuracy and efficiency.
  • Stay current with advancements in machine learning, AI, and related technologies to drive innovation and competitive advantage.

Qualifications

  • Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience (6-8 years) in designing, developing, and deploying machine learning models in production environments.
  • Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Hive, Kafka).
  • Solid understanding of machine learning concepts including supervised and unsupervised learning, deep learning, natural language processing, etc.
  • Ability to work independently and collaboratively in a dynamic, fast-paced environment.

Requirements

  • Master's or PhD in Computer Science, Engineering, Mathematics, or a related field.
  • Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Google AI Platform).
  • Familiarity with containerization (e.g., Docker, Kubernetes) and microservices architecture.
  • Strong communication skills and ability to present complex technical information to diverse audiences.

Benefits

  • Treasure Data offers a collaborative and innovative work environment where you can make a significant impact on transforming customer experiences through AI and machine learning.
  • We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels.
  • Success comes from acknowledging, welcoming, and incorporating diverse perspectives.
  • Diverse representation alone is not the desired outcome; we also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways.
  • Your voice will be heard, and we will help amplify it.

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Senior Machine Learning Engineer @Treasuredata
Software Development
Salary 💸 unspecified
Remote Location
USA
Job Type full-time
Posted Mar 25, 2025
Apply for this position Unlock 53,539 Remote Jobs
📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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