Machine Learning Engineer
Austin, TX · On-site
Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience • Excellence in Python • Deep expertise in algorithms and data structures • Exposure to ...
Machine Learning Engineer
Austin, TX · On-site
Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience • Excellence in Python • Deep expertise in algorithms and data structures • Exposure to ...
Machine Learning Engineer
Austin, TX · On-site
Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. • Experience developing ML algorithms for autonomous vehicles or robotics applications. • ...
Machine Learning Engineer
Austin, TX · On-site
Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. • Experience developing ML algorithms for autonomous vehicles or robotics applications. • ...
Machine Learning Engineer
Frisco, TX · On-site
$140 - $190/hr
D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
Machine Learning Engineer
Frisco, TX · On-site
$140 - $190/hr
D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
Machine Learning Engineer
Addison, TX · On-site +1
$110K - $130K/yr
... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...
Machine Learning Engineer
Addison, TX · On-site +1
$110K - $130K/yr
... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...
Machine Learning Engineer
Frisco, TX · On-site
$120 - $190/hr
D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
Machine Learning Engineer
Frisco, TX · On-site
$120 - $190/hr
D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
Machine Learning Engineer
Frisco, TX · On-site
D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
Machine Learning Engineer
Frisco, TX · On-site
D. preferred) in Computer Science, Machine Learning, or a closely related field. * Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
General Manager, Data Science & Machine Learning
Plano, TX · On-site
$180 - $240/hr
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
General Manager, Data Science & Machine Learning
Plano, TX · On-site
$180 - $240/hr
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
General Manager, Data Science & Machine Learning
Plano, TX · On-site
$180 - $280/hr
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
General Manager, Data Science & Machine Learning
Plano, TX · On-site
$180 - $280/hr
The General Manager leads a large enterprise data science and machine learning organization by setting technical direction, establishing standards for model development and deployment, and ensuring ...
We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in ...
We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
Machine Learning Developer
Dallas, TX · On-site
$140 - $190/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
New
Machine Learning Developer
Dallas, TX · On-site
$140 - $190/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
New
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
Machine Learning Engineer
San Antonio, TX · On-site
$110 - $150/hr
Machine Learning EngineerLOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... You will collaborate with data scientists, engineers, and product teams to turn data into ...
Machine Learning Engineer
San Antonio, TX · On-site
$110 - $150/hr
Machine Learning EngineerLOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... You will collaborate with data scientists, engineers, and product teams to turn data into ...
Machine Learning Engineer
San Antonio, TX · On-site
In this role, you will design, develop, and deploy machine learning models to solve complex problems and improve decision-making processes, collaborating with data scientists and engineers to create ...
Machine Learning Engineer
San Antonio, TX · On-site
In this role, you will design, develop, and deploy machine learning models to solve complex problems and improve decision-making processes, collaborating with data scientists and engineers to create ...
Machine Learning Engineer
Austin, TX · On-site
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Working at the intersection of computer science, marine science, and data analytics, this position ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Working at the intersection of computer science, marine science, and data analytics, this position ...
Machine Learning Developer
Dallas, TX · On-site
$140 - $190/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
Machine Learning Developer
Dallas, TX · On-site
$140 - $190/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity ...
Senior Machine Learning Research Scientist, Secure AI Lab
Arlington, TX · On-site
$140 - $190/hr
Jobs / Senior Machine Learning Research Scientist, Secure AI Lab Senior Machine Learning Research Scientist, Secure AI Lab Full-time About the Role At the SEI AI Division, we conduct research in ...
Senior Machine Learning Research Scientist, Secure AI Lab
Arlington, TX · On-site
$140 - $190/hr
Jobs / Senior Machine Learning Research Scientist, Secure AI Lab Senior Machine Learning Research Scientist, Secure AI Lab Full-time About the Role At the SEI AI Division, we conduct research in ...
Machine Learning Engineer
Plano, TX · On-site
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.
Machine Learning Engineer
Plano, TX · On-site
As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.
Scientific Machine Learning information
What is scientific machine learning?
Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.
What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?
To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.
What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?
Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.
What is the difference between Scientific Machine Learning vs Data Scientist?
| Aspect | Scientific Machine Learning | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in CS, ML, or related fields; knowledge of scientific computing | Degree in CS, statistics, or related fields; strong analytical skills |
| Work environment | Research labs, academia, industry R&D teams | Business analytics, tech companies, consulting firms |
| Industry usage | Research, scientific computing, engineering simulations | Business insights, predictive modeling, data analysis |
Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.
What are popular job titles related to Scientific Machine Learning jobs in Texas?
For Scientific Machine Learning jobs in Texas, the most frequently searched job titles are:
- Senior Applied Scientist Machine Learning
- Immediately Hiring Data Science
- Data Wrangler Intern
- Freelance Edge Ai Machine Learning
- Intern Computational Physicist
- Volunteer Large Language Model Llm
- Data Science For Social Good
- Internship Microsoft Data Analyst
- Data Scientist Internship
- Temporary Data Scientist Nlp
What job categories do people searching Scientific Machine Learning jobs in Texas look for?
The top searched job categories for Scientific Machine Learning jobs in Texas are:
What cities in Texas are hiring for Scientific Machine Learning jobs?
Cities in Texas with the most Scientific Machine Learning job openings:
Machine Learning Engineer
Austin, TX • On-site
1872 Consulting •
IT Services • 11 - 50 employees11 - 50 employees
Full-time
Re-posted 5 hours ago
Job description
Job Summary:
Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver machine learning capabilities for customers, utilizing their technical and communication skills to provide reliable and scalable solutions.
Responsibilities:
• Integrate and apply Striveworks' proprietary data platform.
• Rapidly prototype and deliver machine learning capabilities for customers.
• Tackle real world problems as they unfold.
• Provide reliable and scalable solutions to customer locations.
Qualifications:
Required:
• Able and willing to travel domestically and internationally up to 10%
• B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience
• Excellence in Python
• Deep expertise in algorithms and data structures
• Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI/CD tools)
• Familiarity with relational and non-relational database design and architecture
• Familiarity with Javascript
Preferred:
• Experience with ETL/data pipelines
• Understanding of JavaScript frameworks (React, Vue, or Angular)
• Experience designing RESTful or GraphQL APIs
• Comfortable with Cloud Architecture
• Tensorflow/PyTorch experience
• Knowledge of messaging systems like Kafka, RabbitMQ, or similar
• GoLang/Flyte experience
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver machine learning capabilities for customers, utilizing their technical and communication skills to provide reliable and scalable solutions.
Responsibilities:
• Integrate and apply Striveworks' proprietary data platform.
• Rapidly prototype and deliver machine learning capabilities for customers.
• Tackle real world problems as they unfold.
• Provide reliable and scalable solutions to customer locations.
Qualifications:
Required:
• Able and willing to travel domestically and internationally up to 10%
• B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience
• Excellence in Python
• Deep expertise in algorithms and data structures
• Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI/CD tools)
• Familiarity with relational and non-relational database design and architecture
• Familiarity with Javascript
Preferred:
• Experience with ETL/data pipelines
• Understanding of JavaScript frameworks (React, Vue, or Angular)
• Experience designing RESTful or GraphQL APIs
• Comfortable with Cloud Architecture
• Tensorflow/PyTorch experience
• Knowledge of messaging systems like Kafka, RabbitMQ, or similar
• GoLang/Flyte experience
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
About 1872 Consulting
Sourced by ZipRecruiter
1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2014