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Entry Level Computer Vision Deep Learning Engineer Jobs in Torreon, NM

We are looking for individuals who bring not only deep expertise but also bold vision and an ... Enthusiasm for learning new programming languages and software engineering skills. * Enrolled in ...

Exposure to artificial intelligence or machine learning concepts, with interest in applying them to ... Education * BS in Computer Science or equivalent experience. This position will be posted for a ...

... 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 ...

... 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 ...

Self-starter, independent worker, computer literate * Excellent interpersonal, verbal, and written ... Medical and prescription drug plans that includes no additional cost vision coverage * Dental plan ...

Quick Lube Service Technician (Entry-Level) - Melloy Ford We're looking for someone who wants to ... Health, dental, and vision insurance * Paid time off & sick leave * 401(k) with company match

Quick Lube Service Technician (Entry-Level) - Melloy Ford We're looking for someone who wants to ... Health, dental, and vision insurance * Paid time off & sick leave * 401(k) with company match

Quick Lube Service Technician (Entry-Level) - Melloy Ford We're looking for someone who wants to ... Health, dental, and vision insurance * Paid time off & sick leave * 401(k) with company match

Mechanical Engineering Intern

Moriarty, NM · On-site

$16.75 - $22.50/hr

Mechanical Engineering Intern - Valve & Gas Management Status: Full Time, non-exempt, Temporary ... We are looking for individuals who bring not only deep expertise but also bold vision and an ...

We are looking for individuals who bring not only deep expertise but also bold vision and an ... As a key member of our growing machine shop, you will work closely with engineers and cross ...

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Entry Level Computer Vision Deep Learning Engineer information

See Torreon, NM salary details

$48.7K

$122K

$138K

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

As of May 30, 2026, the average yearly pay for entry level computer vision deep learning engineer in Torreon, NM is $121,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $132,000.00 per year, depending on experience, location, and employer.

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 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 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.

Graduate/Entry-Level Site Engineer - Albuquerque-Los Lunas, New Mexico

XYZ Reality

Los Lunas, NM • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Introduction to XYZ
XYZ Reality are the creators of the world's first and only engineering-grade Augmented Reality solution, purpose built for the construction industry. Not only have we created this holographic technology, that sits within The Atom - a smart, site-safe headset/hardhat - but we implement it on projects, utilising the power of AR to ensure that all schemes are completed in line with the delivery timescales and budgets.
XYZ has grown to over 100 staff across the UK, US & Europe and is working with Mission Critical organisations & construction companies to successfully deliver major projects.
Role Summary
The Graduate/Entry-Level Site Engineer role is designed for individuals at the beginning of their career, typically with limited construction experience. This role focuses on developing the technical and practical skills required to deliver XYZ Reality's services on construction projects.
This role will perform the same operational tasks as Site Engineers but will receive additional training, mentorship, and support while they develop their competency.
Key Responsibilities
  • Track construction progress against BIM models using XYZ's Augmented Reality Device - The Atom.
  • Conduct on-site quality inspections and raise observations on the XYZ Platform.
  • Ensure these QA Issues are submitted to the client on daily basis.
  • Be responsible for the quality of your work ensuring that it follows outlined workflows and standards.
  • Maintain high levels of data accuracy and reporting standards.
  • Collaborate with other engineers on-site to ensure full coverage of the project.
  • Support the Lead Engineer in maintaining operational standards.

Required Skills & Experience
  • Degree or relatable education/experience in engineering, construction management, surveying, or related discipline.
  • Strong willingness to learn and develop new technical skills.
  • Interest in the construction industry including technology and digital tools.

Benefits & Good to Knows
• Competitive salary based on 40-hour week
• 15 days paid time off + public holidays
• Healthcare including vision + dental
• 401K
• Working on-site on MAJOR multimillion/billion-dollar construction projects
• Travel and relocation opportunities across the US
• Push boundaries and deliver cutting-edge technology that is going to change the construction industry forever
• Professional development opportunities
If you'd like to see the products and technology we have created so far on our journey you can view it in action through our YouTube and Website
Essential: You must have a clean criminal record and be willing to undergo background checks and drugs tests due to security requirements of the projects we work on.
This is a permanent role. Ongoing assignments will be subject to project availability and the candidate's flexibility to travel or relocate.