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Entry Level Computer Vision Deep Learning Engineer Jobs in Lake Hughes, CA

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Software Engineer

Los Angeles, CA · On-site

$115K - $150K/yr

Bachelor's degree in computer science, computer engineering, electrical engineering, mathematics ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Software Engineer

Los Angeles, CA · On-site

$115K - $150K/yr

Bachelor's degree in computer science, computer engineering, electrical engineering, mathematics ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Software Engineer

Los Angeles, CA · On-site

$115K - $150K/yr

Bachelor's degree in computer science, computer engineering, electrical engineering, mathematics ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Divergent

Senior C++ Software Engineer

Los Angeles, CA · On-site

... machine learning to optimally engineer, additively manufacture, and flexibly assemble complex ... Familiarity with OpenCV or other computer vision frameworks * Proficiency in Python for scripting ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related field * Proven experience in managing infrastructure for large-scale AI or machine learning projects * Excellent problem ...

K2 Space

Solar Design Engineer

Los Angeles, CA

$100K - $140K/yr

... vision of deploying at scale across MEO, GEO, cis-lunar, and deep space are the solar arrays. As a ... learning from experienced engineers while taking on meaningful ownership of hardware from day one.

Freeform

Simulation Engineer

Los Angeles, CA

We are looking for someone with deep knowledge in physical simulations and multi-physics phenomena ... Master's degree in applied mathematics, physics, computer science, mechanical engineering, or a ...

Freeform

Simulation Engineer

Los Angeles, CA · On-site

We are looking for someone with deep knowledge in physical simulations and multi-physics phenomena ... Master's degree in applied mathematics, physics, computer science, mechanical engineering, or a ...

Freeform

Simulation Engineer

Los Angeles, CA · On-site

We are looking for someone with deep knowledge in physical simulations and multi-physics phenomena ... Master's degree in applied mathematics, physics, computer science, mechanical engineering, or a ...

Freeform

Opto-Mechanical Build Engineer

Los Angeles, CA

$90K - $200K/yr

... deep-tech company. 3D printing experience is not required to be successful here - rather we look ... Hands-on experience with opto-mechanical systems (build, assembly, alignment, etc.). * CAD ...

Freeform

Opto-Mechanical Build Engineer

Los Angeles, CA · On-site

$90K - $200K/yr

... deep-tech company. 3D printing experience is not required to be successful here - rather we look ... Hands-on experience with opto-mechanical systems (build, assembly, alignment, etc.). * CAD ...

Freeform

Opto-Mechanical Build Engineer

Los Angeles, CA · On-site

$90K - $200K/yr

... deep-tech company. 3D printing experience is not required to be successful here - rather we look ... Hands-on experience with opto-mechanical systems (build, assembly, alignment, etc.). * CAD ...

Genesis Global Group

Be Seen First

Entry Level Account Manager - Los Angeles, CA

Los Angeles, CA · On-site

$21.63/hr

Computer proficiency in MS Office, Excel, e-mail and internet functions * Knowledge of laboratory ... Medical, Dental & Vision Insurance * Short and Long Term Disability * Life Insurance * Dependent ...

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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 Lake Hughes, CA

Entry Level Computer Vision Deep Learning Engineer information

See Lake Hughes, CA salary details

$50.1K

$125.4K

$141.9K

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

As of Aug 6, 2026, the average yearly pay for entry level computer vision deep learning engineer in Lake Hughes, CA is $125,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $135,700.00 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 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 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 Lake Hughes, CA are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Lake Hughes, CA with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Lake Hughes, CA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $125,442 per year, or $60.3 per hour.

Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Unio

University of Southern California

Los Angeles, CA • On-site

$145K - $240K/yr

Full-time

Re-posted 4 hours ago

University Of Southern California rating

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

95th of 615 rated colleges and universities

Job description

Under the direction of Information Services Leadership, the incumbent will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance of machine learning models. The MLOps Engineer will play an integral role in implementing artificial intelligence solutions across Keck Medicine of USC. The incumbent will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve patient care, support operational excellence, and advance clinical research. The incumbent will ensure seamless integration, automation, and scaling of AI solutions within the existing infrastructure by leveraging DevOps expertise. They will maintain and continuously improve MLOps pipelines for monitoring, versioning, and deploying models in production environments. The incumbent will be responsible for the end-to-end lifecycle management of artificial intelligence solutions and comes with DevOps experience, ensuring seamless integration, deployment, and automation of systems. The MLOps Engineer will implement best practices for testing, debugging, and performance monitoring of AI systems to ensure reliability and scalability.
Essential Duties:
  • Design, build and maintain production-grade machine learning models, with real-time inference, scalability, and reliability.
  • Develop end-to-end scalable ML infrastructure using cloud platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
  • Develop AI pipelines for various data processing needs, including data ingestion, pre-processing, and search and retrieval, ensuring solutions meet all technical and business requirements.
  • Monitor model performance for data drift and concept drift detection, automate retraining processes where necessary to maintain model accuracy and relevance.
  • Collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
  • Implement and optimize CI/CD pipelines for machine learning models, automating testing and deployment processes.
  • Configure and manage monitoring and logging solutions to track model performance, system health, and anomalies, enabling timely intervention and proactive maintenance.
  • Implement version control systems for machine learning models, parameters, results and associated code to track changes and facilitate collaboration.
  • Ensure all machine learning systems meet security and compliance standards, including data protection and privacy regulations.
  • Lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
  • Maintain clear and comprehensive documentation of MLOps processes and configuration.
  • Strong communication and collaboration skills, to collaborate cross-functionally and align on deployment strategies and technical requirements
  • Other duties as assigned.

Required Qualifications:
  • Req Bachelor's Degree Degree in computer science, engineering or closely related field
  • Req Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps lifecycle management. Technical writing and documentation for AI/ML models and processes. Healthcare data and machine learning use cases.
  • Req Ability to solve complex problems through troubleshooting
  • Req Deep understanding of coding, architecture, and deployment processes
  • Req Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Req Excellent organizational skills and attention to detail
  • Req Self-starter with the ability to solution when requirements are vague or ambiguous

Preferred Qualifications:
  • Pref Master's degree Degree in computer science, engineering or closely related field

Required Licenses/Certifications:
  • Req Fire Life Safety Training (LA City) If no card upon hire, one must be obtained within 30 days of hire and maintained by renewal before expiration date. (Required within LA City only)

The annual base salary range for this position is $145,600.00 - $240,240.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
https://wd5.myworkday.com/usc/d/inst/1$9925/9925$126972.htmld

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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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