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Entry Level Computer Vision Engineer Jobs in Arizona

Infrastructure Engineer

Phoenix, AZ ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

Infrastructure Engineer

Phoenix, AZ ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... Infrastructure Engineer As Infrastructure Engineer, you will own every dollar that moves through ...

AI Engineer

Phoenix, AZ

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

Langan provides expert land development engineering and environmental consulting services for major ... vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy ...

AI Engineer

Phoenix, AZ ยท On-site

$125K - $175K/yr

One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system ... AI Engineer As AI Engineer, you will work directly under the Head of AI -- a researcher with ...

Langan provides expert land development engineering and environmental consulting services for major ... vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy ...

CAD Drafter

Tempe, AZ ยท On-site

$25 - $40/hr

CAD Drafter Department: Civil/Municipal Employment Type: Full Time Location: Tempe, AZ Compensation ... vision coverage; plus a flexible spending plan and short and long-term disability. Wilson Engineers ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at top ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at top ...

... across domains such as computer vision, machine learning, and deep learning. Assists in ... Programming languages such as Python and C++, and experience with AI frameworks and libraries like ...

Showing results 41-60

Entry Level Computer Vision Engineer information

See Arizona salary details

$45.2K

$113.2K

$128.1K

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

As of Aug 19, 2026, the average yearly pay for entry level computer vision engineer in Arizona is $113,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $122,500.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an entry level computer vision engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are the most commonly searched types of Computer Vision Engineer jobs in Arizona?

The most popular types of Computer Vision Engineer jobs in Arizona are:

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Arizona?

For Entry Level Computer Vision Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Vision Engineer jobs in Arizona look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in Arizona are:

Infographic showing various Entry Level Computer Vision Engineer job openings in Arizona as of June 2026, with employment types broken down into 87% Full Time, 1% Part Time, and 12% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,239 per year, or $54.4 per hour.

Infrastructure Engineer

EQL Tech

Phoenix, AZ โ€ข On-site

$125K - $175K/yr

Full-time

Re-posted 20 days ago


Job description

Infrastructure Engineer

Location: San Francisco, CA or Phoenix, AZ (In-Office)

Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical Infrastructure Engineer to own the brand feel of the company and the movement they're building.

About the Company & The Mission

EQL Tech is proud to represent a highly ambitious, well-funded startup that has raised $16M from top-tier VCs and angels. The company is building the financial rails to help families access new State education funds (known as ESAs or School Choice Funds).

The $900B US Public Education budget is being opened up for parents to take control of their portion, which averages $7.5k per kid per year. Ambitious homeschool parents are already using these funds to piece together their dream education experience. Helping them access these funds is Step 1 in the journey to build the next-gen education system. The company treats this as their life's work and has already rejected an acquisition offer because they care about this being done right.

The Team

You will be joining an in-person company, working together in the office.

  • The Founders: The founders are engineers who have run their own alternative school together. One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system for the largest smart warehousing company globally, serving 1M customers/day at age 19.
  • The Core Team: You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk’s SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments Engineer from Microsoft and Goldman Sachs. The team also includes the former Deputy Director at Arizona's ESA department and leading school choice advocates.
The Role: Infrastructure Engineer

As Infrastructure Engineer, you will own every dollar that moves through Pathfinder's stack — from card issuing to disbursements, reconciliation, and regulatory reporting. You will work directly alongside the co-founders to build the technical backbone the company's mission depends on.

As Infrastructure Engineer, you will:

  • Design a money movement flow: ledgered internal state, transaction lifecycle management, idempotency, retries, and deterministic replay so we can reason about every flow.
  • Build high-trust, reliable reconciliation: daily/continuous reconciliation between internal ledger, card network events, banking events, and vendor/provider reports — and the tooling to investigate mismatches fast.
  • Minimize operational risk: build guardrails that prevent bad states (double-spend, duplicate webhook processing, inconsistent balances, orphaned settlements).
  • Payment Systems Architecture: Own and evolve a multi-service monorepo spanning an event-driven pipeline, a payments API (onboarding, credit, cards), balance healthchecks, and regulatory reporting jobs. Make architecture-level decisions on how to securely and reliably handle billions of dollars in state-funded educational payments, including card issuing infrastructure, processor integrations, and fraud and credit risk controls.
  • Ledger Integrity Reconciliation: Be responsible for keeping independent ledgers aligned at all times despite asynchronous event processing. You can spot a missing cent and get to the root before errors compound. You will build and improve automated healthcheck and reconciliation systems that catch discrepancies the moment they appear, not the next morning.

Requirements

Your Profile
  • Obsessive About Correctness: You know that a missing cent compounds into a crisis. Retries don't erase history, idempotency is deliberate, and validation belongs where truth lives — the database. You can spot a discrepancy before it becomes a problem.
  • Assumes the Real World is Unreliable: Banks go down, queues back up, vendors change APIs without warning. You build systems that stay predictable anyway — "reliable" to you means consistent behaviour at 10 payments or 10,000,000.
  • Craves Ownership: You want to be the single person everyone trusts when money is moving. You're not looking to contribute to a system — you want to have engineered it so that emergencies are rare and recoverable when they happen.
  • High-Auditability Mindset: You're willing to go deep on a single missing transaction and trace it through every layer of the stack. You build tooling that lets you and your team investigate mismatches fast, not the next morning.
  • Able to work in-person with the team in San Francisco, CA or Phoenix, AZ (visa support available)
  • Experience with Lithic, Column, LoanPro, Stripe Issuing, or comparable card and banking infrastructure is a strong plus

Benefits

Commitment, Compensation & Benefits

This will be a big commitment, and we're aiming high. It needs to be something you are energised about taking on, or this isn't the team for you.

  • Competitive Salary: $125,000 – $175,000 per year, commensurate with experience.
  • Generous Founding Equity: We compensate you well with equity.
  • Top-Tier Backing: We've raised $16M from top-tier VCs and angels.
  • Relocation Support: You are willing to relocate to San Francisco, CA, or Phoenix, AZ, and travel to visit customers. We're an in-person company and are in the office together.
  • Comprehensive Visa Sponsorship: If you do not have a visa, we can support you.
  • Unmatched Impact: The rare opportunity to directly shape how the $900B US Public Education budget is being opened up for parents to take control of their portion (avg. $7.5k/kid/year).