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Entry Level Machine Learning Engineer Jobs in Katy, TX

Pwc

US Tech - AI Engineering Senior Associate

Houston, TX · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Capgemini

Entry Level Technologist

Houston, TX · On-site

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100 - $200/hr

... machine learning-driven alert generation frameworks. * Implement model deployment pipelines and production monitoring to ensure effectiveness and regulatory compliance. * Conduct feature engineering ...

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

Sogeti

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Broad experience and knowledge in Statistics, Machine Learning and data engineering. * Awareness of issues in statistics and dependence on data quality * A practical approach to problem solving and ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Katy, TX

Entry Level Machine Learning Engineer information

See Katy, TX salary details

$27.5K

$63.6K

$108.3K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level machine learning engineer in Katy, TX is $63,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $72,000.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Katy, TX?

The most popular types of Machine Learning Engineer jobs in Katy, TX are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Katy, TX?

For Entry Level Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Katy, TX look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Katy, TX are:

What cities near Katy, TX are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Katy, TX with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $63,639 per year, or $30.6 per hour.

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX

Full-time

Re-posted 5 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 620 rated colleges and universities

Job description

Summary

The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
  • Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
  • Annotates medical notes and datasets to facilitate training and validation of predictive models.
  • Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
  • Conducts exploratory data analysis to extract meaningful insights from complex datasets.
  • Writes manuscripts and prepare presentations for local, national, and international conferences.
  • Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
  • Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
  • Tests, debugs, and validates models in partnership with technical and clinical teams.
  • Ensures adherence to ethical guidelines for the use of patient data in research and development.
  • Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
  • Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
  • Collaborates on the integration of clinical datasets into broader health informatics systems.
  • Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
  • Presents findings in department meetings and seminars and support grant writing and funding initiatives.
  • Mentors trainees or junior team members in clinical informatics and research methods as needed.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • MD passionate about clinical bioinformatics and driving innovation in healthcare. 
  • Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
  • Background in basics statics.
  • Background in basics AI.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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