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

HeyGen

Research Engineer

Los Angeles, CA · On-site

... learning and computer vision, demonstrating practical application of generative models and a ... Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new ...

RecruitSeq

Founding Applied AI Engineer

Los Angeles, CA · On-site

$220K - $320K/yr

... deep learning, or machine learning systems. * Strong software engineering and computer science ... Practical experience building with LLMs, agentic systems, specialized models, computer vision, or ...

New

Crowe LLP

Machine Learning Engineer

Los Angeles, CA · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... Execute on the technical vision for development of AI solutions and delivery of AI features to ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$132K - $174K/yr

You go deep with one rather than skim, and you end up learning parts of the business most engineers never see. Whether systems like these actually work, and how anyone would know, is still an open ...

Lodestar

Software Engineer: Perception

Los Angeles, CA · On-site

$140K - $180K/yr

About the Job As a Software Engineer - Perception at Lodestar, you'll be joining the perception and ... By combining computer vision, image processing and machine learning, you'll develop custom models ...

Lodestar

Software Engineer: Perception

Los Angeles, CA

$140K - $180K/yr

About the Job As a Software Engineer - Perception at Lodestar, you'll be joining the perception and ... By combining computer vision, image processing and machine learning, you'll develop custom models ...

K2 Space

Automation & Controls Engineer

Los Angeles, CA · On-site

$100K - $140K/yr

You'll develop deep technical intuition, contribute to systems that scale, and grow into ... design, robotics, computer vision, and other systems * Implement our HMI strategy and PLC ...

Freeform

Software Engineer (Embedded)

Los Angeles, CA

$125K - $150K/yr

Develop software to enable the computer vision system, monitor sensor data, perform calibrations ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Software Engineer (Embedded)

Los Angeles, CA · On-site

$125K - $150K/yr

Develop software to enable the computer vision system, monitor sensor data, perform calibrations ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Freeform

Software Engineer (Embedded)

Los Angeles, CA · On-site

$125K - $150K/yr

Develop software to enable the computer vision system, monitor sensor data, perform calibrations ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Hadrian Automation, Inc

Data Scientist

Los Angeles, CA · On-site

$170K - $300K/yr

Geometric deep learning: mesh / point-cloud networks, GNNs, PyTorch Geometric * CAD / B-rep, ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, CA

$99K - $232K/yr

... Applying deep learning techniques and neural networks to improve predictive analytics ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

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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 28, 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 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.

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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $125,442 per year, or $60.3 per hour.

Research Scientist (Computer Graphics, Vision and Machine Learning)

Los Angeles, CA • On-site

Eyeline
See more jobs at Eyelineexternal

Full-time

Re-posted yesterday

Job description

Netflix is a global leader in entertainment services, expanding beyond media distribution into cutting-edge content production. Within this ecosystem, Eyeline Labs serves as the research and innovation arm of Netflix Eyeline Studios, developing and deploying advanced technologies that transform how films are made.
Our mission is to tackle the challenges of tomorrow, making the seemingly impossible achievable, delivering photorealistic quality with exceptional speed and efficiency, and supporting creators in bringing their boldest creative visions to life.
We want to provide you with a solid foundation where you can be a part of an innovative team of brilliant researchers, developers and virtual storytellers. Learn more.
We are seeking a highly skilled Research Scientist with a strong background in computer vision, computer graphics, and machine learning. This role is ideal for candidates passionate about generating high-quality images and advancing the state of the art in dynamic scene capture and reconstruction, and novel view synthesis. You will be at the forefront of developing new algorithms that drive the future of visual storytelling.
Key Responsibilities
  • Conduct applied research in computer graphics and machine learning - focused on high-fidelity reconstruction and photorealistic image synthesis to solve real challenges in VFX and content creation pipelines.
  • Design, implement, and evaluate novel algorithms for (Dynamic) Gaussian Splatting, 3D reconstruction, performance capture and relighting with a clear path from prototype to production applicability.
  • Lead high-quality data acquisition and curation efforts to support next-generation machine learning algorithms for VFX and virtual production.
  • Engage directly with VFX artists, supervisors, and production teams to understand creative and technical pain points, ensuring research efforts are grounded in real production needs.
  • Contribute to and stay at the forefront of the research community by sharing findings, collaborating with peers, and presenting work at top-tier conferences (SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR).
  • Collaborate closely with engineering, production, and business teams to translate research outcomes into production-ready solutions, bridging the gap between research prototypes and real-world VFX workflows.
  • Identify and champion new research directions that can have significant impact on content creation and virtual production.

Qualifications
  • MSc with relevant research experience, or PhD, in Computer Graphics, 3D Computer Vision, Machine Learning, or a closely related field.
  • Demonstrable research experience in 3D Computer Vision and Computer Graphics, with contributions to major venues (e.g., SIGGRAPH, CVPR, NeurIPS, ICCV, ECCV, ICLR) through publications, technical talks, or open-source work.
  • Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as 3D reconstruction, dynamic scene capture, photorealistic rendering, and (Dynamic) Gaussian Splatting.
  • Familiarity with modern generative architectures - diffusion models (image/video), transformer-based methods, or demonstrably transferable experience.
  • Comfortable working at both the algorithmic and implementation levels - from model design and optimization to large-scale data processing and integration into production systems.
  • Track record of translating research into production-quality solutions, navigating real-world constraints such as data limitations, performance requirements, and production timelines.
  • Experience working directly with artists, engineers, or production teams to ensure research outputs meet the quality and usability bar for creative workflows.
  • Strong attention to detail in image and signal processing, with a drive to achieve high-fidelity, visually compelling results.
  • Exceptional communication and collaboration skills, with the ability to work effectively across research, engineering, and creative teams in a fast-paced environment.
  • High level of ownership, initiative, and a positive, problem-solving attitude.
  • Passion for movies, TV, and storytelling (preferred)

100 000-320 000$ USD a year
This salary range is specific to applicants applying to our position in Los Angeles, California. To determine your base salary, we consider your qualifications, skills, and experience. These considerations can cause your compensation to vary outside of this range and will also be dependent on your location.
About Us
Eyeline is a global creative studio partnering with storytellers to turn their ambitions into stunning reality. By blending the time-honored craft of filmmaking with breakthrough technologies, we unlock bold, cinematic visions at scale. Our three pillars - VFX, Studios and Labs - form the creative spine of Eyeline, guiding how we think, work, and show up in every frame.
At Eyeline, we believe technology serves artistry and our people are the soul behind everything we do, deepening creative connection, rather than replacing it. We build worlds with exceptional craft and precision, working hand in hand with our creative partners from concept to final pixel.
Netflix Investment- Eyeline
With the support of Netflix's investment in our pipeline, infrastructure, and workforce, we're pushing the boundaries of what's possible in visual effects and virtual production technology. In addition to our work with Netflix, we continue to partner with a wide range of long-standing and new clients worldwide.
Come as you are
We are looking for those seeking to take risks with us, those driven by passion for their craft. To us, these are key ingredients that we look for in our team. We are committed to ensuring fair and equal treatment of your application. When you apply for a role with us, you will receive consideration based solely on your qualifications.

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