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Entry Level Machine Learning Engineer Jobs in San Antonio, TX

Swbc

Junior Data Engineer

San Antonio, TX

$103K - $124K/yr

... datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or ... As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ...

SWBC

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or ... As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ...

SWBC

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or ... As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ...

Siri InfoSolutions Inc

Data Engineer

San Antonio, TX · On-site

$89K/yr

Develop and implement machine learning and data processing solutions using Python and related libraries such as pandas, numpy, and scikit-learn. Build and optimize relational and NoSQL databases ...

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Entry Level Machine Learning Engineer information

See San Antonio, TX salary details

$27.1K

$62.6K

$106.4K

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 San Antonio, TX is $62,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $70,800.00 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 San Antonio, TX?

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

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

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

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

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

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

Cities near San Antonio, 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 San Antonio, TX as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $62,564 per year, or $30.1 per hour.

Machine Learning Engineer

Cymertek Corporation

San Antonio, TX • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Bachelor's Degree
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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