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Machine Learning Jobs in Austin, TX (NOW HIRING)

SynergisticIT

Machine learning engineer

Austin, TX

Preferred Skills NLP, Deep Learning, Data visualization, Scala, Django. Our candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune Clients)

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/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 ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/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 ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/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 ...

Bumble

Senior Machine Learning Engineer

Austin, TX

$220K - $250K/yr

As part of our Machine Learning team, you'll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform. As a Senior ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

As part of our Machine Learning team, you'll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform. As a Senior ...

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All JobsMachine Learning JobsMachine Learning Jobs in Austin, TX

Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do machine learning jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning in Austin, TX is $42,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Austin, TX? The most popular types of Machine Learning jobs in Austin, TX are:
What are popular job titles related to Machine Learning jobs in Austin, TX? For Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Austin, TX look for? The top searched job categories for Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning jobs? Cities near Austin, TX with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Austin, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,199 per year, or $20.3 per hour.

Machine Learning Engineer-Python

Prophecy Technologies

Austin, TX • On-site

Full-time

Posted 13 days ago

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

Apply