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Entry Level Computer Vision Deep Learning Engineer Jobs in Weinert, TX

haydon

Field Engineer (Haskell, TX)

Haskell, TX

Continuous Learning - Assesses own strengths and weaknesses; seeks feedback to improve performance ... This is an entry level position. Solid organizational skills. Proficiency in Microsoft Office.

haydon

Field Engineer (Haskell, TX)

Haskell, TX

Continuous Learning - Assesses own strengths and weaknesses; seeks feedback to improve performance ... This is an entry level position. Solid organizational skills. Proficiency in Microsoft Office.

Albertsons

Front End Entry Level

Seymour, TX · On-site

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

Albertsons

Front End Entry Level

Seymour, TX · On-site

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

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All JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Weinert, TX

Entry Level Computer Vision Deep Learning Engineer information

See Weinert, TX salary details

$44.8K

$112.2K

$126.9K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for entry level computer vision deep learning engineer in Weinert, TX is $112,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $121,400.00 per year, depending on experience, location, and employer.

What types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in high-demand industries. Roles like senior machine learning engineers or AI specialists with expertise in deep learning and computer vision are among those that may reach this compensation level.

Which 5 jobs will survive AI?

Entry Level Computer Vision Deep Learning Engineers are likely to continue in demand as AI advances, especially in fields requiring specialized knowledge of neural networks, image processing, and machine learning frameworks. Roles that involve designing, training, and maintaining AI models, along with skills in programming, data analysis, and domain expertise, are expected to persist. Jobs that require complex problem-solving, creativity, and human judgment will also remain resilient despite automation trends.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What engineer makes $500,000 a year?

Highly experienced computer vision deep learning engineers working in senior or specialized roles at top tech companies can earn $500,000 or more annually, especially with bonuses and stock options. Such compensation typically requires advanced skills in deep learning frameworks, extensive industry experience, and often involves leadership or research positions in competitive environments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including in roles like entry-level computer vision deep learning engineers. Skills in deep learning frameworks such as TensorFlow or PyTorch are in high demand, and the field continues to grow with advancements in AI and machine learning. Job opportunities remain strong for those with relevant technical expertise.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Weinert, TX are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Weinert, TX with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you

Field Engineer (Haskell, TX)

haydon

Haskell, TX

Other

Posted 17 days ago

Job description

SUMMARY

While on a project, the Field Engineer reports to field level management, who has ultimate responsibility for both the quality of Haydon's deliverable and effective execution of project assignments. The Project Superintendent and Project Manager may delegate certain project management responsibilities to the Field Engineer, including day-to-day interaction with the Owner's designated representative as well as coordination of all internal activities performed by Haydon's staff.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

  • Technical support for field operations
  • RFI’s
  • Quality Assurance/Quality Control
  • Quantity Tracking & Verification including performing work Takeoffs.
  • Extensive regular contact with assigned crews and subcontractors
  • Participates in Owner and Subcontractor Meetings
  • Assisting with Layout
  • Introduction to Subcontractor Management

COMPETENCIES

To perform the job successfully, an individual should demonstrate the following competencies:

  • Planning/Organizing - Prioritizes and plans work activities; uses time efficiently; plans for additional resources; sets goals and objectives; organizes or schedules other people and their tasks; develops realistic action plans.
  • Communications - Strong problem solving, risk management, organization, and communication skills.  Expresses ideas and thoughts verbally; expresses ideas and thoughts in written form; exhibits good listening and comprehension; keeps others adequately informed; selects and uses appropriate communication methods.
  • Continuous Learning - Assesses own strengths and weaknesses; seeks feedback to improve performance; pursues training and development opportunities; strives to continuously build knowledge and skills; shares expertise with others.
  • Leadership - Exhibits confidence in self and others; inspires and motivates others to perform well; effectively influences actions and opinions of others; accepts feedback from others; gives appropriate recognition to others.
  • Quantity - Meets productivity standards; completes work in timely manner; strives to increase productivity; works quickly.
  • Adaptability - Adapts to changes in the work environment; manages competing demands; changes approach or method to best fit the situation; able to deal with frequent change, delays, or unexpected events.

QUALIFICATIONS The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education and/or Experience

Bachelor’s degree in Construction Engineering, Construction Management, Civil Engineering, or equivalent experience in heavy civil construction.  This is an entry level position.  Solid organizational skills.  Proficiency in Microsoft Office.  Willingness to travel if required.  Experience and/or training; or equivalent combination of education and experience considered.   Understands and abides by all government processes and regulations.

Physical Demands

While performing the duties of this Job, the employee is regularly required to use hands to type, handle, or feel and talk or hear.  The employee is frequently required to stand; walk and sit.  The employee is occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. 

Work Environment 

The noise level in the work environment is usually moderate

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