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

SCEYE INC

Data Analyst

Moriarty, NM · On-site

We are looking for individuals who bring not only deep expertise but also bold vision and an ... Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or ...

Securitas

Entry Level Security - Flex MSO

Los Lunas, NM · On-site

$16.50 - $18/hr

Medical, Dental, Vision & 401K Options. * Life, AD&D, & Disability Insurance. * Virtual Medical ... Above average computer / technology skills needed. * Security, Law Enforcement, or Military ...

SCEYE INC

Propulsion Technician

Moriarty, NM · On-site

We are looking for individuals who bring not only deep expertise but also bold vision and an ... Any prior CAD experience is a plus * Prior experience working with composites * FAA A&P (Airframe ...

Data Clean LLC

Technician 1 (68969)

Los Lunas, NM · On-site

$35K - $45K/yr

Our entry-level Data Center Cleaning Technician 1 is to ensure clean, safe, and well-maintained ... learning, including certifications * Paid Time Off * Medical, Dental, Vision plans * Life ...

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Torreon, NM

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 Aug 20, 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 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 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 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.
Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Torreon, NM as of June 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,989 per year, or $58.6 per hour.

Mechanical Engineer - Propulsion

SCEYE INC

Moriarty, NM • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description


Mechanical Engineer - Propulsion

Status: Full Time, Exempt

Location: Moriarty, NM

Who Are We:

Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms. Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18 – 21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages.


Our HAPS can be deployed in a matter of days and at a fraction of the cost of traditional infrastructure solutions. This makes them an ideal solution for providing telecommunications connectivity, emergency solutions in the event of natural or other disasters, environmental and infrastructure monitoring, Earth observation and a range of defense applications.


Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies. At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you’ll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence.

About the Position:

Sceye is seeking a Mechanical Engineer to support the design, development, prototyping, and assembly of mechanical systems for our high-altitude platform technologies. This is a hands-on engineering role for someone who enjoys designing parts in CAD, working directly with hardware, and seeing designs move from concept to physical assembly.

The ideal candidate has strong mechanical aptitude and can confidently identify and work with common mechanical components, including brackets, fasteners, fittings, bearings, spacers, and structural hardware. This person will be comfortable creating designs in SolidWorks, assembling components from engineering drawings and bills of materials, and collaborating with manufacturing and test teams to improve designs.


What You’ll Do:

  • Design mechanical components, brackets, fixtures, and assemblies using SolidWorks.
  • Create and revise detailed 3D CAD models, 2D engineering drawings, and supporting design documentation.
  • Assemble mechanical components, prototypes, and production hardware from engineering drawings, bills of materials, and supplied parts.
  • Identify and select appropriate mechanical hardware, including bolts, nuts, washers, inserts, bearings, spacers, fittings, and other standard components.
  • Perform fit checks, tolerance reviews, and basic design validation to confirm parts assemble and function as intended.
  • Work closely with engineering, manufacturing, and test teams to improve manufacturability, assembly, and overall design performance.
  • Support prototype builds, engineering changes, troubleshooting, and root-cause investigations.
  • Maintain organized CAD files, drawing revisions, bills of materials, and related engineering documentation.
  • Support system integration and testing activities involving aerospace hardware.

What We’re Looking for:

  • Bachelor's degree in Mechanical Engineering or a related engineering discipline.
  • Up to 3 years of relevant mechanical design experience; internships, co-ops, academic projects, and hands-on project experience may be considered.
  • Proficiency with SolidWorks and experience creating 3D models and engineering drawings.
  • Ability to read and interpret engineering drawings, assembly instructions, and bills of materials.
  • Working knowledge of common mechanical hardware, fasteners, brackets, bearings, structural components, sheet-metal parts, and machined components.
  • Hands-on experience assembling mechanical components and hardware.
  • Strong mechanical aptitude and practical problem-solving skills.
  • Excellent attention to detail and the ability to work effectively in a fast-paced, collaborative environment.

Preferred Qualifications

  • Experience performing finite element analysis (FEA), including SolidWorks Simulation or a similar tool.
  • Experience with 3D printing, rapid prototyping, and prototype iteration.
  • Familiarity with geometric dimensioning and tolerancing (GD&T).
  • Experience designing sheet-metal or machined components.
  • Understanding of Design for Manufacturing (DFM) and Design for Assembly (DFA).
  • Experience with PLM, revision-control, or engineering change-management systems.
  • Experience in aerospace, aviation, automotive, robotics, UAV, or high-tech manufacturing environments.

What We Offer:

At Sceye, we’re building more than high-altitude platforms—we’re building a workplace where people (and their pups) thrive. Here’s what you’ll enjoy:

  • Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused.
  • Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day.
  • Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel.
  • Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space.
  • Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else.
  • 401(k) with Match – Company contributions that are yours from day one.
  • High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace.


Equal Opportunity Employer:

Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status.


We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we’re happy to assist.