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Entry Level Remote Machine Learning Jobs in Blanco, TX

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Enova International

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Outbound Collection Specialist (Remote)

San Antonio, TX · Remote

$21/hr

This role is 100% remote, but candidates must reside in one of the following states: Iowa, Illinois ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

New

Hayes Financial Talent Group

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Entry Level Financial Professional

San Antonio, TX · Remote

$95K - $575K/yr

In just 10-14 days our professionals are licensed, learning core fundamentals and simple, real ... The work is remote (flexible schedule part/full-time) in the immense and lucrative financial ...

Cornelis Networks, Inc.

AI Platform Engineer

Austin, TX · Remote

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... A background in machine-learning research or training large language models is not required. The ...

New

The Helper Bees

Fulfillment Associate

Austin, TX · Remote

$17 - $17.50/hr

Comfort and adaptability when working with technology and learning new programs and computer ... Constantly operates a computer and other office productivity machinery, such as a phone and Voice ...

All JobsMachine Learning JobsEntry Level Remote Machine Learning JobsEntry Level Remote Machine Learning Jobs in Blanco, TX

Entry Level Remote Machine Learning information

See Blanco, TX salary details

$11

$15

$19

How much do entry level remote machine learning jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for entry level remote machine learning in Blanco, TX is $15.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $17.26 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Remote Machine Learning vs Entry Level Remote Data Science?

AspectEntry Level Remote Machine LearningEntry Level Remote Data Science
Required CredentialsBachelor's in CS, Math, or related; familiarity with ML frameworksBachelor's in CS, Statistics, or related; knowledge of data analysis tools
Work EnvironmentRemote, collaborative teams, coding-focusedRemote, data analysis, reporting, and visualization tasks
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

Entry Level Remote Machine Learning roles focus on developing algorithms and models using programming skills, while Entry Level Remote Data Science positions emphasize analyzing data, creating reports, and deriving insights. Both roles often require similar educational backgrounds and are common in tech-driven industries, but they differ in daily tasks and focus areas.

What cities near Blanco, TX are hiring for Entry Level Remote Machine Learning jobs? Cities near Blanco, TX with the most Entry Level Remote Machine Learning job openings:
Entry Level Remote Machine Learning jobs near you
Infographic showing various Entry Level Remote Machine Learning job openings in Blanco, TX as of July 2026, with employment types broken down into 52% Full Time, 28% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $33,037 per year, or $15.9 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 17 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

Social media

Facebook

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