1

Machine Learning Engineer Hybrid Jobs in Windcrest, TX

Machine Learning Engineer

San Antonio, TX ยท On-site

$125 - $150/hr

The Machine Learning (ML) Engineer, with an interest in a variety of disciplines, will strive to build frameworks and supporting utilities to enhance the experience of our data scientists.

New

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 ...

Machine Learning Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to ... Develop and implement state-of-the-art algorithms, specifically a hybrid GNN and BiLSTM ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

next page

Showing results 1-20

Machine Learning Engineer Hybrid information

See Windcrest, TX salary details

$27.1K

$110.7K

$166.3K

How much do machine learning engineer hybrid jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer hybrid in Windcrest, TX is $110,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $133,200.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What cities near Windcrest, TX are hiring for Machine Learning Engineer Hybrid jobs?

Cities near Windcrest, TX with the most Machine Learning Engineer Hybrid job openings:

Infographic showing various Machine Learning Engineer Hybrid job openings in Windcrest, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,657 per year, or $53.2 per hour.

Machine Learning Engineer

San Antonio, TX โ€ข On-site

Cymertek Corporation
IT Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 5 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:
โ€ข Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
โ€ข Ability to design, implement, and optimize machine learning models and workflows
โ€ข Experience working with large, complex datasets
โ€ข Knowledge of data preprocessing and feature engineering
โ€ข Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
โ€ข Strong problem-solving skills and analytical thinking
Qualifications:
Required:
โ€ข Bachelor's Degree
โ€ข Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
โ€ข Ability to design, implement, and optimize machine learning models and workflows
โ€ข Experience working with large, complex datasets
โ€ข Knowledge of data preprocessing and feature engineering
โ€ข Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
โ€ข Strong problem-solving skills and analytical thinking
โ€ข Proficiency in programming languages (e.g., Python, R, Java)
โ€ข Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
โ€ข Expertise in model evaluation techniques and metrics
โ€ข Strong knowledge of version control tools (e.g., Git)
โ€ข Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
โ€ข Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
โ€ข Experience with natural language processing (NLP)
โ€ข Knowledge of deep learning techniques (e.g., CNNs, RNNs)
โ€ข Familiarity with deployment tools (e.g., Docker, Kubernetes)
โ€ข Experience with data augmentation and synthetic data generation
โ€ข Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
โ€ข Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sฤซ-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.