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No Experience Machine Learning Jobs in Austin, TX

Avride

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

About the role We're hiring an experienced ML engineer to work on the models that see. You'll own ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

Avride

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

About the role We're hiring an experienced ML engineer to work on the models that see. You'll own ... Python and a modern deep learning framework , fluently, as your daily working environment. * Enough ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

Neuralink

Machine Learning Engineer

Austin, TX

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

Varsity Tutors

Machine Learning Tutor

Round Rock, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

San Marcos, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Austin, TX · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineer to help us design and deliver CX ...

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How much do no experience machine learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for no experience machine learning in Austin, TX is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $25.24 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

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:
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No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,051 per year, or $22.6 per hour.

Machine Learning Engineer

Avride

Austin, TX • On-site

$138K/yr

Full-time

Re-posted 18 days ago

Job description

About the role

We're hiring an experienced ML engineer to work on the models that see. You'll own problems end to end: deciding what data you need, getting it, training on it, proving the result is actually better, and getting it running inside the vehicle's constraints.

The problems you'd be working on

Rather than a list of responsibilities, here's what the team is actually chewing on:

A model that's two points better offline can be worse on the road. Aggregate benchmark numbers hide the failures that matter - the rare scene, the unusual agent, the bad lighting. Building evaluation that predicts on-road behaviour, and knowing when to distrust your own metric, is a bigger part of this job than architecture search.

We generate far more data than anyone can look at. The interesting frames are a vanishingly small fraction of what the fleet records. Finding them, deciding what's worth labelling, and keeping the training set honest as the distribution shifts is continuous work, not a one-time setup.

The vehicle's compute budget is fixed and already full. Everything you add competes with everything already running. You'll be making concrete trades between accuracy, latency, and memory, and defending them.

Modern architectures keep changing what's possible. Transformers and multimodal models opened up approaches that weren't available two years ago. Part of the job is reading what's coming out, judging honestly whether it applies to our problem, and being willing to conclude that it doesn't.

Nothing ships alone. Your model's output is someone else's input. You'll work directly with the planning, infrastructure, and vehicle software teams, and the handoffs are where most of the real difficulty lives.

What we're looking for
  • You've shipped a neural network, not just trained one. At least three years taking models from data collection through training to something that ran in production or on real hardware, and stayed working.
  • Real depth in one modern ML area - computer vision, large language models, or generative modelling. We'd rather see one domain you know properly than six you've touched.
  • Python and a modern deep learning framework, fluently, as your daily working environment.
  • Enough C++ to be useful. Inference runs in C++ on the vehicle. You don't need to be a C++ specialist, but you need to be able to read the code your model runs inside and work with the engineers who own it.
  • Comfort with large-scale data tooling and SQL - you can get your own data without waiting on someone else.
  • You read papers and can tell which ones matter. Most don't.
  • You can explain a technical trade-off to someone who doesn't share your background and hold your position when it's the right call.
Things that would stand out
  • You've made a model meaningfully faster on target hardware and can explain what you gave up to get there.
  • You've worked on ML for autonomous vehicles or robotics before, and know how different the failure modes are from a benchmark.
  • Published work or open-source contributions we can actually read - send us a link and we'll read it.
  • A track record of setting a direction and following it through without needing to be steered.
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