Senior Machine Learning Engineer

3 weeks ago

Austin, Texas, United States webAI Full time

About webAI

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webAI is a pioneering software company that revolutionizes the field of artificial intelligence. Our cutting-edge technology enables the development of powerful AI using limited amounts of data, challenging conventional wisdom.

We offer a unique opportunity to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

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The Job

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As a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP), you will be part of our innovative team developing state-of-the-art NLP models that power our platform.

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This role focuses on designing, building, and deploying LLMs that work with both structured and unstructured language data. You will collaborate closely with our research and engineering teams to ensure seamless integration and optimal performance.

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You will have experience deploying production-level NLP models, as well as expertise in MLOps practices and scalable cloud infrastructure.

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Key Responsibilities:

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  • Design and Develop Advanced LLMs: Create and fine-tune LLMs and NLP models for tasks like language understanding and generation.
  • Enhance Existing LLM Frameworks: Extend webAI's existing LLM frameworks and libraries, incorporating the latest research in language models.
  • Preprocess and Prepare Data: Preprocess and prepare text datasets for training, including tokenization and feature extraction.
  • Implement MLOps Best Practices: Implement MLOps best practices for deploying scalable, production-level models on cloud platforms.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to integrate LLM models into the webAI platform.
  • Stay Up-to-Date with LLM Advancements: Stay updated on LLM advancements and apply the latest research to improve model performance.
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Requirements:

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  • 5+ Years of Experience: 5+ years of experience in machine learning, with a focus on NLP and LLMs.
  • Education**: Bachelor's (Master's preferred) in Computer Science, Machine Learning, or related field.
  • Expertise in Transformer Architectures: Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering.
  • Proficiency in Python and NLP Libraries: Proficiency in Python and NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • MLOps Experience: Experience with MLOps tools (MLFlow, Kubeflow, etc.).
  • Strong Communication Skills: Strong communication skills and passion for learning.
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Benefits:

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  • $140,000/year Salary: A competitive salary of $140,000 per year, with opportunities for performance-based incentives.
  • Comprehensive Benefits Package: Comprehensive health, dental, and vision benefits package, including a $200/month health and wellness stipend.
  • Flexible Work Schedule: Flexible work week, including free parking for in-office employees.
  • Unlimited PTO: Unlimited paid time off, including parental and bereavement leave.
  • Continuing Education Credit: $400/year continuing education credit.
  • Supplemental Life Insurance: Supplemental life insurance.
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Company Values:

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At webAI, we live by our core values: Truth, Ownership, Tenacity, and Humility. We seek individuals who exemplify these values and are committed to delivering exceptional results.

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Equal Opportunity Employer

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webAI is an equal opportunity employer and does not discriminate against any employee or applicant based on age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

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