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Machine Learning Engineer New Grad Jobs in Austin, TX

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Bumble Inc. is dedicated to creating healthy and equitable relationships through their products, and they are seeking a Staff Machine Learning Engineer to lead the development of advanced machine ...

As an Entry-Level Software Engineer - New Grad, you'll help build solutions that support everything ... comfortable learning new tools quickly * Strong communication skills: able to talk with both ...

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track ...

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and ... new ML capabilities for aerospace and defense applications. • Document designs, workflows, and ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data ...

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

They are seeking experienced Machine Learning Engineers to drive the development and deployment of ... absorb new concepts from research papers, technical reports, and documentation. • Strong ...

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and ... new ML capabilities for aerospace and defense applications. • Document designs, workflows, and ...

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... As a machine learning engineer in Finance, you'll play an integral and global role in building the ...

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and ...

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ... Ability to quickly absorb new concepts from research papers, technical reports, and documentation.

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Machine Learning Engineer New Grad information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning engineer new grad in Austin, TX is $127,637.00, 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 is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Austin, TX are hiring for Machine Learning Engineer New Grad jobs? Cities near Austin, TX with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Austin, TX as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110K - $130K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous gun turrets using advanced computer vision and control systems. The Computer Vision & Machine Learning Engineer will be responsible for developing and optimizing computer vision algorithms and designing machine learning models for real-time drone detection and tracking.
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.
• 4-7+ 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.