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Machine Learning Engineer New Grad Jobs in Texas

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...

About the role We are looking for an experienced Machine Learning Engineer with a strong background ... Ability to quickly absorb new concepts by reviewing research papers, technical reports, and ...

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... or building machine learning models. Proficiency in one or more object-oriented programming ...

About the role We are looking for an experienced Machine Learning Engineer with a strong background ... Ability to quickly absorb new concepts by reviewing research papers, technical reports, and ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... new data sources and execute data-wrangling techniques Participate and support other teams, as ... machine learning On call support Qualifications and Education Requirements Master's degree in a ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... eligible new parents * Community Volunteering & Company Philanthropy Programs * Employee Peer ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... eligible new parents * Community Volunteering & Company Philanthropy Programs * Employee Peer ...

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... machine learning and software engineering Preferred Qualifications PhD or Graduate degree with ...

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... machine learning and software engineering Preferred Qualifications PhD or Graduate degree with ...

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... machine learning and software engineering Preferred Qualifications PhD or Graduate degree with ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... We are looking forward to adding new perspectives to our team! Shipwell employees will only ever ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Diverse Lynx LLC is seeking a Machine Learning Engineer with extensive experience in software ... Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001 ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI ... Explore new technology shifts in order to determine how they might connect with the customer ...

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside ... Explore new technology shifts in order to determine how they might connect with the customer ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

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Showing results 1-20

Machine Learning Engineer New Grad information

See Texas salary details

$29.3K

$120K

$180.3K

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

As of Jul 2, 2026, the average yearly pay for machine learning engineer new grad in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 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 are the most commonly searched types of Machine Learning Engineer New Grad jobs in Texas? The most popular types of Machine Learning Engineer New Grad jobs in Texas are:
What cities in Texas are hiring for Machine Learning Engineer New Grad jobs? Cities in Texas with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Texas as of June 2026, with employment types broken down into 60% Full Time, 10% Part Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

ExtendMyTeam

Austin, TX • On-site

Full-time

Posted 13 days ago


Job description

Join a high-growth financial technology organization focused on delivering modern digital banking and software solutions to financial institutions and enterprise clients. This team is investing heavily in AI-driven innovation to improve operational efficiency, accelerate software delivery, and streamline implementation processes across a large-scale delivery organization.

This is an opportunity to work on highly visible initiatives focused on automation, workflow optimization, and practical AI applications that directly impact customer delivery and operational performance.

Position Summary

We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and enhance implementation efficiency. This individual will partner closely with engineering, implementation, product, and delivery teams to identify process bottlenecks and build practical AI-driven solutions that improve execution and scalability.

This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work.

Responsibilities

  • Design and develop AI/ML-enabled applications and workflow automation solutions

  • Build scalable machine learning pipelines and production-ready systems

  • Collaborate cross-functionally with engineering, implementation, product, and delivery teams

  • Identify operational inefficiencies and develop automation solutions to improve processes and delivery cycles

  • Integrate AI and machine learning solutions into production environments

  • Support experimentation, evaluation, testing, and continuous improvement of AI systems

  • Stay current with emerging AI, LLM, and machine learning technologies

Required Experience / Ideal Background

  • 5–8 years of relevant software engineering and/or machine learning experience

  • Strong Python engineering background

  • Experience working with AI/LLM technologies and frameworks such as OpenAI, Claude, PyTorch, TensorFlow, LangChain, or similar tools

  • Experience building and deploying production-grade applications, automation systems, or ML solutions

  • Familiarity with cloud platforms and scalable infrastructure environments

  • Experience within SaaS, enterprise software, fintech, or implementation-heavy technology organizations preferred

  • Strong problem-solving, communication, and collaboration skills

  • Experience working cross-functionally with technical and operational teams

Additional Information

  • Hybrid opportunity located in Austin, TX

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities