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Machine Learning Engineer Two Jobs in Austin, TX

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... General application data and performance analysis Requirements * 2+ years experience with:

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121.40K - $160.10K/yr

The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to both the customer-driven projects and the enduring products of ...

Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web ... Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

The Role As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on day one to be both a core contributor and a customer-facing technical leader on the projects and ...

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Machine Learning Engineer Two information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do machine learning engineer two jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer two in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.
What cities near Austin, TX are hiring for Machine Learning Engineer Two jobs? Cities near Austin, TX with the most Machine Learning Engineer Two job openings:

Machine Learning Engineer-Python

Prophecy Technologies

Austin, TX • On-site

Full-time

Posted yesterday


Job description

Job Summary
We are seeking a Machine Learning Engineer with strong hands-on experience in building and deploying machine learning solutions. The role involves working with structured data, NLP, time series models, and modern LLM concepts, while contributing to scalable ML and MLOps architectures in cloud environments.
Key Responsibilities
  • Design, develop, and implement machine learning models for real-world business use cases
  • Work with structured data, NLP, and time series modeling techniques
  • Apply LLM concepts such as RAG, prompting, few-shot prompting, and supervised fine-tuning (SFT)
  • Develop, deploy, and maintain ML pipelines using MLOps best practices
  • Perform data analysis, feature engineering, and statistical modeling
  • Optimize model performance, scalability, and reliability
  • Collaborate with cross-functional teams to translate requirements into ML solutions
  • Contribute to continuous improvement of ML systems and workflows

Required Skills & Experience
  • 4+ years of hands-on experience in Machine Learning implementations
  • Strong experience in structured data modeling, NLP, and time series analysis
  • Good understanding of LLM concepts including RAG, prompting, few-shot prompting, and SFT
  • Strong knowledge of MLOps architectures and components
  • Solid understanding of statistical concepts and problem-solving techniques
  • Hands-on experience with ML frameworks such as:
  • Scikit-learn
  • PyTorch / TensorFlow / Keras
  • RASA
  • LangChain
  • Strong programming experience in Python

Competencies
  • Strong analytical and problem-solving skills
  • Ability to design scalable and maintainable ML solutions
  • Good communication and collaboration skills
  • Ownership mindset and attention to model quality

Preferred Skills
  • Experience with Cloud and DevOps tools including Git, CI/CD, Docker, and Kubernetes
  • Hands-on experience with AWS or GCP
  • Experience working in Agile development environments