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AI​/ML Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Atexo
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Company Description

Cinarra is a data-first company at the forefront of building Adtech and  solutions. We leverage cutting-edge technology and AI to transform data into actionable insights, driving the future of digital advertising and identity management.
Cinarra is a wholly owned by Soft Bank.

Job Description

We are hiring an AI/ML Engineer to join our AI team as a key contributor to model development and training. In this role, you will work on building, training, and improving machine learning models, preparing and curating datasets, and contributing to model accuracy, performance, and scalability. The role involves hands‑on work with modern machine learning techniques, including transformer‑based and representation learning models, in close collaboration with engineers, data scientists, and product partners.

Key Responsibilities

  • Develop, train, and evaluate machine learning and deep learning models.

  • Prepare and process large datasets for model training and inference.

  • Implement and optimize model architectures for data linking and representation learning.

  • Collaborate with engineering and product teams to integrate models into production workflows.

  • Analyze model performance and suggest improvements.

Qualifications

Minimum Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Proficiency in Python and core ML libraries (Num Py, Pandas, Scikit‑learn, Tensor Flow or PyTorch).

  • Understanding of embeddings, transformer models, and modern ML workflows.

  • Experience with data preprocessing, feature engineering, and evaluation metrics.

  • Strong analytical, problem‑solving, and collaboration skills.

Nice to Have

  • Hands‑on experience training or fine‑tuning transformer or embedding models.

  • Familiarity with model tracking and version control (Git, MLFlow, Jupyter).

  • Experience in scalable ML systems and data infrastructure.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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