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Machine Learning Engineer Jobs in Leander, TX (NOW HIRING)

Bumble Inc.

Lead Machine Learning Engineer

Austin, TX

$255K - $280K/yr

As a Lead Machine Learning Engineer, you'll take ownership of complex, ambiguous problem spaces and drive end-to-end machine learning solutions that span modelling, systems, and product integration.

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

They are seeking experienced Machine Learning Engineers to drive the development and deployment of machine learning solutions for complex challenges in autonomy. Responsibilities : • Develop and ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121.40K - $160.10K/yr

You will also work on building out a SOTA machine learning platform. We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124.40K - $171.50K/yr

About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or probabilistic modeling. * Programming Skills: Proficiency in ...

PayPal

Sr Machine Learning Engineer

Austin, TX

$55.25 - $73/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning ...

Cisco

Principal Machine Learning Engineer

Austin, TX · On-site

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the lifecycle of large-scale foundation models, and collaborate with various teams to ensure alignment ...

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Machine Learning Engineer information

See Leander, TX salary details

$30.1K

$123K

$184.9K

How much do machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer in Leander, TX is $123,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Leander, TX? The most popular types of Machine Learning Engineer jobs in Leander, TX are:
What are popular job titles related to Machine Learning Engineer jobs in Leander, TX? For Machine Learning Engineer jobs in Leander, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Leander, TX look for? The top searched job categories for Machine Learning Engineer jobs in Leander, TX are:
What cities near Leander, TX are hiring for Machine Learning Engineer jobs? Cities near Leander, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you

Computer Vision & Machine Learning Engineer, Senior

Allen Control Systems

Austin, TX • On-site

$121.40K - $160.10K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing advanced technologies for autonomous systems. The Senior Computer Vision & Machine Learning Engineer will lead the development of computer vision algorithms and machine learning models for an autonomous gun turret, focusing on drone detection and tracking.
Responsibilities:
• Lead the 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.
• Mentor junior engineers and contribute to the overall growth of 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 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 Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 6+ 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 mentoring and collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems is a robotics defense company that develops counter-drone technology for the U.S. and its allied forces. Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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