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Senior Machine Learning Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Glocomms
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Senior Machine Learning Engineer

Location:

Austin, TX

Base pay range: $200,000 – $250,000 per year

Company Overview

A leading AI organization focused on building secure, scalable, and distributed AI infrastructure for personalized applications. The company is committed to enabling enterprises to deploy large-scale AI models while maintaining data privacy and control. The team values transparency, ownership, persistence, and humility, and seeks individuals passionate about shaping the next generation of AI.

Role Overview

The Senior Machine Learning Engineer will specialize in Large Language Models (LLMs) and Natural Language Processing (NLP). This role involves designing, building, and deploying state‑of‑the‑art NLP models, collaborating with research and engineering teams, and implementing scalable MLOps practices.

Key Responsibilities
  • Design, build, and fine‑tune LLMs and NLP models (e.g., GPT, BERT) for language understanding and generation.
  • Extend existing LLM frameworks and incorporate the latest research advancements.
  • Preprocess and prepare text datasets for training, including tokenization and feature extraction.
  • Implement MLOps best practices for deploying production‑level models on cloud platforms.
  • Collaborate with cross‑functional teams to integrate models into the platform.
  • Stay updated on LLM advancements and apply cutting‑edge techniques to improve performance.
Required Skills & Experience
  • 5+ years of experience in machine learning, with a focus on NLP and LLMs.
  • Bachelor's degree in Computer Science, Machine Learning, or related field (Master's preferred).
  • Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering.
  • Strong understanding of RAG architectures, vector databases, and embedding retrieval methods.
  • Proficiency in Python and NLP libraries (Hugging Face, Tensor Flow, PyTorch).
  • Experience with MLOps tools (MLFlow, Kubeflow, etc.).
  • Strong communication skills and passion for continuous learning.
Benefits
  • Competitive salary and performance‑based incentives.
  • Comprehensive health, dental, and vision benefits.
  • 401k match.
  • Health and wellness stipend.
  • Continuing education credit.
  • Unlimited approved PTO and parental leave.
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Position Requirements
10+ Years work experience
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