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Freelance Full Stack Machine Learning Engineer Jobs in Austin, TX

Neuralink

Machine Learning Engineer

Austin, TX · On-site

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

$117K - $138K/yr

This job will assist in designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$150 - $200/hr

... stack. We acquire power, design and build data centers, and operate them - with teams spanning ... Full autonomy. Own things end to end often taking on scope outside your core role without being ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX · On-site

$120K - $550K/yr

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance ...

Datalinx AI

Senior Full-Stack Engineer

Austin, TX · On-site

Required : • 10+ years of combined experience in full-stack development with specialization in machine learning, data engineering, and knowledge of agentic application design. • Strong ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$200 - $250/hr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$224K - $344K/yr

... stack. We acquire power, design and build data centers, and operate them - with teams spanning ... Full autonomy. Own things end to end, take on scope without being asked, no permission required to ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

... engineers. Responsibilities : • Design and implement scalable systems across our full stack ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Bespoke Labs

Machine Learning Engineer

Austin, TX

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

San Marcos, TX · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Trunk Tools, Inc.

Senior Full Stack Engineer

Austin, TX · On-site

$166K - $215K/yr

Our full-stack engineers work within cross-functional feature squads to create the capabilities our ... Collaborate closely with machine learning/vision engineers, LLM domain experts, and our ...

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All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in Austin, TX

Freelance Full Stack Machine Learning Engineer information

See Austin, TX salary details

$44.1K

$133.6K

$188.8K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for freelance full stack machine learning engineer in Austin, TX is $133,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $156,600.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Austin, TX?

The most popular types of Full Stack Machine Learning Engineer jobs in Austin, TX are:

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Austin, TX?

For Freelance Full Stack Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Austin, TX look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near Austin, TX with the most Freelance Full Stack Machine Learning Engineer job openings:

Freelance Full Stack Machine Learning Engineer jobs near you
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 25% Part Time, 7% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $133,586 per year, or $64.2 per hour.

Machine Learning Engineer

Neuralink

Austin, TX • On-site

Full-time

Re-posted 4 days ago

Job description

About the Team:

The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.

About the Role:

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.

Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:

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