Staff Machine Learning Engineer

Cloud Transformers Inc.

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  • Full Time
  • Austin, TX
  • $180,000 - $230,000 USD / Year
  • Salary: $180,000 - $230,000

Website cloudtransformers Cloud Transformers Inc.

Leading Digital Transformation

Job Description

About the Role

We’re seeking a highly skilled ML engineer to drive our core NLP capabilities. The ideal candidate will have a blend of deep learning expertise and strong software engineering fundamentals.

Responsibilities

  • Design and implement scalable machine learning solutions
  • Develop state-of-the-art NLP models in production environments
  • Collaborate with research teams to apply theoretical advancements
  • Optimize existing algorithms for improved performance
  • Mentor junior ML engineers and conduct code reviews
  • Contribute to open-source libraries and community projects
  • Lead documentation efforts for model architecture and implementation

Requirements

  • PhD or Master’s in Computer Science, AI, or related field
  • 8+ years of experience building production ML systems
  • Deep knowledge of TensorFlow or PyTorch
  • Familiarity with NLP libraries (spaCy, NLTK)
  • Proficiency in software engineering best practices
  • Track record of publishing/presenting at ML conferences
  • Experience with cloud platforms (AWS/Azure)

Benefits

  • Competitive salary with annual bonuses
  • Comprehensive health, dental, and vision coverage
  • Flexible PTO and mental health days
  • Generous home office setup and wellness stipend
  • Professional training and conference budgets
  • Employee resource groups and diversity initiatives
  • Relocation assistance and visa sponsorship

About the Company

Our mission is to revolutionize how people communicate online through our next-generation AI tools. We’re a global team known for pioneering research and fostering a culture of innovation.


Job ID: staff-machine-learning-engineer-8QJoD

Tagged as: AWS, Azure, Cloud Architecture, DevOps

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You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

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