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New Grad Machine Learning Jobs in Texas (NOW HIRING)

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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

Apple

Machine Learning Engineer

Austin, TX · On-site

... new projects and craft upcoming products that will delight and encourage millions of Apple ... To be successful, candidates will need a machine learning background, proven software development ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

... new projects and craft upcoming products that will delight and encourage millions of Appleʼs ... Description To be successful, candidates will need a machine learning background, proven software ...

Visa

Director, Machine Learning

Austin, TX · On-site

With strong demand for new solutions in this space, it promises to be an exciting area of ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

With strong demand for new solutions in this space, it promises to be an exciting area of ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

With strong demand for new solutions in this space, it promises to be an exciting area of ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Photon

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Varsity Tutors

Machine Learning Tutor

Plano, TX · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Brownsville, TX · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Carrollton, TX · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Machine Learning Tutor

San Marcos, TX · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Texas

New Grad Machine Learning information

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

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Texas? For New Grad Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Texas look for? The top searched job categories for New Grad Machine Learning jobs in Texas are:
What cities in Texas are hiring for New Grad Machine Learning jobs? Cities in Texas with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Texas as of May 2026, with employment types broken down into 86% Full Time, 7% Part Time, 5% Contract, and 2% Nights. Highlights an 95% In-person, and 5% Remote job distribution.

Machine Learning Engineer

Q2 Software, Inc.

Austin, TX • On-site

Full-time

Medical

Posted 9 days ago

Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
SUMMARY
The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.
Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
RESPONSIBILITIES
• Design and implement machine learning algorithms and models for various business applications
• Conduct research and experimentation to advance machine learning capabilities
• Collaborate with cross-functional teams to integrate AI solutions into production environments
• Analyze large datasets to extract meaningful insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Maintain up-to-date knowledge of emerging AI and machine learning trends
• Ensure the quality and performance of AI systems through testing and validation
EXPERIENCE AND KNOWLEDGE
• Bachelor's degree in related field and 5-8 years relevant experience
• Proven experience in ML model development and deployment
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
• Proficiency in programming languages such as Python, R, or Java
• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms and scalable computing resources
• Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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