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Machine Learning Contract Jobs in Austin, TX (NOW HIRING)

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Design and implement machine learning models that can operate in resource-constrained environments ... We specialize in recruiting skilled individuals for both full-time direct hires and contract ...

Attorney - Remote

Round Rock, TX · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Attorney - Remote

Georgetown, TX · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Attorney - Remote

Austin, TX · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

Senior iOS developer

Austin, TX · On-site

$55 - $60/hr

Contract Description : We are seeking a highly experienced Swift Developer with a hybrid full-stack ... Integrate AI and machine learning services, utilizing Swift APIs to interact with large language ...

Senior Software Engineer II

Austin, TX

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

NET-while applying data analysis and machine learning techniques to help merchants improve their ... Design and implement RESTful APIs and data contracts that support both real-time and batch ...

Enterprise Architect 3

Austin, TX · On-site

$68.50 - $88.25/hr

Austin, TX (anywhere in TX) Duration: Long Term Contract CANDIDATE SKILLS AND QUALIFICATIONS ... Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data ...

Senior Software Engineer II

Austin, TX

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Senior Software Engineer II

Austin, TX · On-site

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Senior Software Engineer II

Austin, TX

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

Texas Neos is Seeking a Data Architect for a contract role for with our client in Austin, TX. ** ... Develop and operationalize scalable architectures for collaborative notebooks, machine learning ...

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Machine Learning Contract information

See Austin, TX salary details

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How much do machine learning contract jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for machine learning contract 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 is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

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

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

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 cities near Austin, TX are hiring for Machine Learning Contract jobs? Cities near Austin, TX with the most Machine Learning Contract job openings:
Infographic showing various Machine Learning Contract job openings in Austin, TX as of June 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $47,051 per year, or $22.6 per hour.
W2 Role- Machine Learning Performance Engineer - CUDA Python[50% Travel-remote]

W2 Role- Machine Learning Performance Engineer - CUDA Python[50% Travel-remote]

SmartIPlace

Austin, TX • Remote

$143K/yr

Contractor

Posted 7 days ago


Job description

Title: Machine Learning Performance Engineer - CUDA Python

Work Authorization – USC / GC only

Interview: Video

Duration:  6-month contract maybe extensions  

 

 

Location:  50% travel

 

Duration: 6 month contract

*Must be willing to travel 50% of the time

*Must have strong pre-sales abilities i.e. presentation skills, communication skills, etc.

*Must be willing to help train employees and customers

Your part here is optimizing the performance of our models – both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research.

Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level – is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?

  • An understanding of modern ML techniques and toolsets
  • The experience and systems knowledge required to debug a training run’s performance end to end
  • Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy
  • Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute
  • Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
  • Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads
  • Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters
  • An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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