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Remote Machine Learning Engineer Jobs in Austin, TX

Victory

Data Scientist (Remote)

Austin, TX · Remote

Create predictive models and machine-learning algorithms * Modify and combine different models ... Work together with engineering and product development teams Data Scientist requirements are: * 3+ ...

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 ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... software engineers. Not only do we offer a great team to work with, but we also offer you an ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Kake Group

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

We are looking for Senior Software Engineers to join our team and contribute to engineering ... remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related ...

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Enverus

Staff Software Engineer - 26218

Austin, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Our platform combines distributed systems, machine learning, complex power flow analysis and ... Engineers on this team own systems end-to-end, including architecture, implementation ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Austin, TX

Remote Machine Learning Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do remote machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning engineer in Austin, TX is $127,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Austin, TX?

The most popular types of Machine Learning Engineer jobs in Austin, TX are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Austin, TX?

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

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

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

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

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

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,607 per year, or $61.3 per hour.

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

SmartIPlace

Austin, TX • Remote

$143K/yr

Contractor

Re-posted 10 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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