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Home Based Python Machine Learning Jobs in Austin, TX

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python and experience with at least one major ML framework (e.g. PyTorch, TensorFlow ... Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python and experience with at least one major ML framework (e.g. PyTorch, TensorFlow ... Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while ...

Crowe LLP

Machine Learning Intern

Austin, TX

$27 - $42/hr

... high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python and experience with at least one major ML framework (e.g. PyTorch, TensorFlow ... Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while ...

Samsung Electronics Co., Ltd.

Machine Learning Engineer

Taylor, TX · On-site

$90K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with Python ML libraries (scikit-learn, TensorFlow, PyTorch, or XGBoost) for ... based on factors to include organizational and individual performance. Total Rewards At Samsung ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Austin, TX

Home Based Python Machine Learning information

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How much do home based python machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for home based python machine learning in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Austin, TX?

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

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

The top searched job categories for Home Based Python Machine Learning jobs in Austin, TX are:

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Cities near Austin, TX with the most Home Based Python Machine Learning job openings:

Home Based Python Machine Learning jobs near you

Computer Vision & Machine Learning, Junior

Allen Control Systems

Austin, TX • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous gun turrets utilizing advanced computer vision and control systems. The Junior Computer Vision & Machine Learning role involves developing and optimizing algorithms for drone detection and tracking, and collaborating with engineers to integrate these systems into hardware.
Responsibilities:
• Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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