ML Engineer

Optimal Inc.

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Electrical Engineering, AI, Machine Learning, or related field.
  • Strong understanding of machine learning, deep learning, and computer vision.
  • Proficient in Python and frameworks like PyTorch or TensorFlow.
  • Solid grasp of linear algebra, probability, statistics, and optimization.
  • Research experience in machine learning or AI via academic work, publications, or industry.

Responsibilities

  • Design, develop, and optimize machine learning and deep learning models.
  • Conduct experiments and evaluate model performance for improvements.
  • Handle large-scale datasets for training, validation, and testing.
  • Translate research concepts into production-ready AI solutions.
  • Collaborate with engineering and research teams to integrate AI into applications.
  • Document technical approaches, experiments, and findings.

Benefits

  • Opportunities for professional development and training.
  • Access to cutting-edge technology and tools.
  • Collaborative work environment with skilled teams.
Full Job Description
Machine Learning Engineer

Job Summary

We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have experience developing, training, and optimizing AI models and applying advanced techniques to solve real-world image processing and perception challenges.

Key Responsibilities
Design, develop, and optimize machine learning and deep learning models.
Conduct experiments, evaluate model performance, and implement improvements.
Work with large-scale datasets for training, validation, and testing.
Translate research concepts into scalable, production-ready solutions.
Collaborate with engineering and research teams to integrate AI models into applications.
Document technical approaches, experiments, and findings.

Required Qualifications
Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field.
Strong foundation in machine learning, deep learning, and computer vision.
Experience with Python and frameworks such as PyTorch or TensorFlow.
Solid understanding of linear algebra, probability, statistics, and optimization.
Research experience in machine learning or AI through academic projects, thesis work, publications, or industry experience.

Preferred Qualifications
Publications in machine learning, computer vision, or AI conferences/journals.
Experience deploying machine learning models into production environments.
Familiarity with GPU computing and performance optimization

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