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Machine Learning Assistant 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 ... assist with the application or hiring process, or to perform the essential functions of a job ...

Crowe LLP

Machine Learning Engineer

Austin, TX

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Charta Group Inc.

Assistant Machine Operator

Austin, TX · On-site

$14 - $16.50/hr

Always follow prescribed safety regulations. * Assist the team in cleaning machines, tools and ... learning and skill development. * Always maintain cleanliness of the department and all equipment.

New

Charta Group Inc.

Assistant Machine Operator

Austin, TX · On-site

$14 - $16.50/hr

Always follow prescribed safety regulations. * Assist the team in cleaning machines, tools and ... learning and skill development. * Always maintain cleanliness of the department and all equipment.

New

Qualcomm

Cloud AI Competitive Analysis

Austin, TX · On-site

$90 - $136/hr

Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations. * Assists in the modeling ...

New

Qualcomm

Cloud AI Competitive Analysis

Austin, TX · On-site

$90K - $135K/yr

Principal Duties and Responsibilities: • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

... the machine learning and computer vision expertise within the company. * Contribute to the hardening of the prototype turret into a military-grade system and assist in developing variants for ...

HEB

Data Engineering Manager

Austin, TX · On-site

... * Assist in diagnosing and resolving highly complex technical and operational issues. Customer Personalization & Machine Learning Enablement * Build foundational data capabilities that support:

TigerGraph

Account Executive

Austin, TX

$150K - $160K/yr

... AI,machine learning, and indeed decisioning. * Seven of the top ten global banks use TigerGraph for real-time fraud detection. * 50 million patients receive care path recommendations to assist them ...

Entegris

Senior Data Scientist

Austin, TX · On-site

Build AI assistants, intelligent agents, chatbots, and copilot solutions that automate engineering ... Apply machine learning, statistical analysis, predictive modeling, forecasting, and optimization ...

Sourceability

Principal NLP Scientist

Austin, TX

Stream | Software Engineering / AI & Machine Learning * Role Type | Principal-level individual ... assistant workflows * Data preparation, annotation strategy, and labeling quality * Model ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Austin, TX

Machine Learning Assistant information

See Austin, TX salary details

$13

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How much do machine learning assistant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for machine learning assistant in Austin, TX is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $19.04 per hour, depending on experience, location, and employer.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

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 Assistant jobs in Austin, TX?

For Machine Learning Assistant jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in Austin, TX look for?

The top searched job categories for Machine Learning Assistant jobs in Austin, TX are:

What cities near Austin, TX are hiring for Machine Learning Assistant jobs?

Cities near Austin, TX with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $37,220 per year, or $17.9 per hour.

Machine Learning Engineer

Avride

Austin, TX • On-site

$138K/yr

Full-time

Re-posted 13 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.

#LI-MS1
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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