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Learning Jobs in Austin, TX (NOW HIRING)

Avride

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

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 ...

Avride

Machine Learning Engineer

Austin, TX · On-site

$138K/yr

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 ...

Openwork

Learning & Development Partner

Austin, TX

Learning & Development Partner Help build learning experiences that help people succeed * Please Note: This is a remote role, however candidates must currently reside in Texas to be considered" At ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

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 ...

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All JobsLearning JobsLearning Jobs in Austin, TX

Learning information

See Austin, TX salary details

$10.9K

$83.1K

$138.8K

How much do learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for learning in Austin, TX is $83,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $137,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a learning and development specialist, and why are they important?

To thrive as a Learning and Development Specialist, you need expertise in instructional design, adult learning theory, and training delivery, often supported by a degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and certifications like CPLP or ATD are commonly required. Strong communication, facilitation, and organizational skills help you connect with learners and manage multiple training projects effectively. These skills ensure engaging, effective training solutions that support employee growth and organizational goals.

What is a learning specialist?

Learning Specialists are professionals who support students or employees in developing effective learning strategies and overcoming educational challenges. They often work in schools, colleges, or corporate settings, helping individuals with skills such as organization, time management, study techniques, and sometimes addressing learning disabilities. Their goal is to enhance learning outcomes and foster academic or professional growth by tailoring their approach to each individual's needs.

What is the difference between Learning vs Training?

AspectLearningTraining
FocusGaining knowledge and understandingDeveloping specific skills for tasks
MethodSelf-study, courses, workshopsHands-on practice, instruction sessions
DurationOngoing, flexibleStructured, time-limited
OutcomeKnowledge, awarenessSkill proficiency, performance

Learning involves acquiring broad knowledge and understanding, often through self-directed or formal education. Training focuses on teaching specific skills needed for particular tasks or jobs. While learning is ongoing and flexible, training is usually structured and time-bound. Both are essential in professional development but serve different purposes in the growth of employees and individuals.

What are some common challenges faced by professionals in learning and development roles, and how can they be overcome?

Professionals in learning and development often encounter challenges such as engaging diverse learners, keeping up with rapidly changing technologies, and demonstrating the impact of training initiatives. To address these, it's important to tailor content to different learning styles, leverage new digital tools, and use data-driven approaches to measure effectiveness. Collaborating closely with subject matter experts and stakeholders also helps ensure training is practical and aligned with organizational goals.
What are the most commonly searched types of Learning jobs in Austin, TX? The most popular types of Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Learning jobs? Cities near Austin, TX with the most Learning job openings:
Learning jobs near you
Infographic showing various Learning job openings in Austin, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,148 per year, or $40 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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