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Machine Learning Engineer New Grad Jobs in Bryan, TX

Establish and lead Machine Learning Operations practices, focusing on the continuous monitoring ... Strong programming skills in Python, R, SQL, C++ and experience with modern AI/ML frameworks like ...

... identify new technologies to support projects. Candidates should be able to interface with ... Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn)

... identify new technologies to support projects. Candidates should be able to interface with ... Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn)

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Data Science Tutor

Bryan, TX ยท Remote

$40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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Machine Learning Engineer New Grad information

See Bryan, TX salary details

$29K

$118.7K

$178.4K

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

As of May 28, 2026, the average yearly pay for machine learning engineer new grad in Bryan, TX is $118,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $142,900.00 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 Bryan, TX are hiring for Machine Learning Engineer New Grad jobs? Cities near Bryan, TX with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Bryan, TX as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $118,736 per year, or $57.1 per hour.
CI/CD Pipeline Engineer - AI Trainer

CI/CD Pipeline Engineer - AI Trainer

DataAnnotation

College Station, TX โ€ข Remote

$40 - $75/hr

Part-time

Posted 21 days ago


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotationโ€™s coding team, youโ€™ll be part of a growing community of over 100,000 professionals โ€” including front-end, back-end, full-stack, machine learning, and other engineers โ€” who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: youโ€™ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, youโ€™ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

  • This is a full-time or part-time REMOTE position
  • Youโ€™ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at $50-75+/hr, with bonuses on high-quality and high-volume work

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

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