... deep learning, particularly in natural language processing and/or multimodal models Hands-on ... systems and computer vision models, including prompt design, fine-tuning, and evaluation ...
... deep learning, particularly in natural language processing and/or multimodal models Hands-on ... systems and computer vision models, including prompt design, fine-tuning, and evaluation ...
Senior Machine Learning Engineer
Los Angeles, CA · Remote
$165K - $225K/yr
Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...
Quick apply
Senior Machine Learning Engineer
Los Angeles, CA · Remote
$165K - $225K/yr
Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...
... deep learning, particularly in natural language processing and/or multimodal models Hands-on ... systems and computer vision models, including prompt design, fine-tuning, and evaluation ...
... deep learning, particularly in natural language processing and/or multimodal models Hands-on ... systems and computer vision models, including prompt design, fine-tuning, and evaluation ...
... deep learning, particularly in natural language processing and/or multimodal models Hands-on ... systems and computer vision models, including prompt design, fine-tuning, and evaluation ...
... deep learning, particularly in natural language processing and/or multimodal models Hands-on ... systems and computer vision models, including prompt design, fine-tuning, and evaluation ...
Collaborate closely with engineering, production, and business teams to translate research outcomes ... Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as ...
Collaborate closely with engineering, production, and business teams to translate research outcomes ... Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as ...
Collaborate closely with engineering, production, and business teams to translate research outcomes ... Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as ...
Collaborate closely with engineering, production, and business teams to translate research outcomes ... Deep expertise in computer graphics and machine learning, with hands-on experience in areas such as ...
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 ...
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 ...
Machine Learning Engineer - Multimodal
Los Angeles, CA · On-site
$160K - $250K/yr
The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full ... As a Senior Machine Learning Engineer, you will own the ML lifecycle for the vision-language models ...
Machine Learning Engineer - Multimodal
Los Angeles, CA · On-site
$160K - $250K/yr
The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full ... As a Senior Machine Learning Engineer, you will own the ML lifecycle for the vision-language models ...
Machine Learning Engineer
Los Angeles, CA · On-site
With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications ... Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or ...
Machine Learning Engineer
Los Angeles, CA · On-site
With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications ... Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or ...
Robotics Operations & SW Test Engineer
$80K - $90K/yr
Practical experience in designing, optimizing, or testing Computer Vision pipelines (using PyTorch ... Foundational understanding of Machine Learning concepts, Neural Networks, and deep learning ...
Robotics Operations & SW Test Engineer
$80K - $90K/yr
Practical experience in designing, optimizing, or testing Computer Vision pipelines (using PyTorch ... Foundational understanding of Machine Learning concepts, Neural Networks, and deep learning ...
Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated ...
Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated ...
Machine Learning Engineer II
Los Angeles, CA · On-site
$105K - $143K/yr
Strong foundation in computer science fundamentals, including data structures, algorithms, and ... Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee ...
Machine Learning Engineer II
Los Angeles, CA · On-site
$105K - $143K/yr
Strong foundation in computer science fundamentals, including data structures, algorithms, and ... Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee ...
Machine Learning Engineer II
Los Angeles, CA · On-site +1
$145K - $165K/yr
Strong foundation in computer science fundamentals, including data structures, algorithms, and ... Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee ...
Quick apply
Machine Learning Engineer II
Los Angeles, CA · On-site +1
$145K - $165K/yr
Strong foundation in computer science fundamentals, including data structures, algorithms, and ... Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee ...
Machine Learning Engineer II
Los Angeles, CA · On-site +1
$105K - $143K/yr
Strong foundation in computer science fundamentals, including data structures, algorithms, and ... Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee ...
Machine Learning Engineer II
Los Angeles, CA · On-site +1
$105K - $143K/yr
Strong foundation in computer science fundamentals, including data structures, algorithms, and ... Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee ...
Machine Learning Engineer - LLMs
Los Angeles, CA · On-site
$160K - $250K/yr
The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...
Machine Learning Engineer - LLMs
Los Angeles, CA · On-site
$160K - $250K/yr
The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...
AI Engineer
Los Angeles, CA · On-site
$55K - $187K/yr
... deep learning and neural network methodologies to optimize AI model performance - Managing data ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...
AI Engineer
Los Angeles, CA · On-site
$55K - $187K/yr
... deep learning and neural network methodologies to optimize AI model performance - Managing data ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...
Senior Machine Learning Engineer
$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 ...
Senior Machine Learning Engineer
$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 ...
Staff Machine Learning Engineer
$187K - $233K/yr
ROLE OVERVIEW Grailed is looking for a Staff Machine Learning Engineer to help us build the models ... vision, disability, life insurance options). To determine starting pay within the hiring range, we ...
Quick apply
Staff Machine Learning Engineer
$187K - $233K/yr
ROLE OVERVIEW Grailed is looking for a Staff Machine Learning Engineer to help us build the models ... vision, disability, life insurance options). To determine starting pay within the hiring range, we ...
Experience using Python machine learning and deep learning frameworks and libraries, including ... computer vision, cognitive services, and big data tools used to manage large datasets * Experience ...
Experience using Python machine learning and deep learning frameworks and libraries, including ... computer vision, cognitive services, and big data tools used to manage large datasets * Experience ...
Software Engineer (Embedded)
$115K - $145K/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 ...
Software Engineer (Embedded)
$115K - $145K/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 ...
Entry Level Computer Vision Deep Learning Engineer information
See Lake Hughes, CA salary details
$50.1K - $58.4K
0% of jobs
$58.4K - $66.8K
0% of jobs
$66.8K - $75.1K
7% of jobs
$75.1K - $83.5K
0% of jobs
$83.5K - $91.8K
0% of jobs
$91.8K - $100.2K
1% of jobs
$100.2K - $108.5K
0% of jobs
$113.4K is the 25th percentile. Wages below this are outliers.
$108.5K - $116.9K
28% of jobs
$116.9K - $125.2K
1% of jobs
$125.2K - $133.6K
0% of jobs
The median wage is $135.2K / yr.
$133.6K - $141.9K
62% of jobs
$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:
Full-time
Re-posted 9 days ago
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy.
In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices
Description
As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale.
You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.
Minimum Qualifications
Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)
Strong experience with deep learning, particularly in natural language processing and/or multimodal models
Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation
Familiarity with ranking, retrieval, and personalization algorithms
Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)
Experience integrating ML models into production systems
Strong communication skills and the ability to collaborate across disciplines
Curiosity, pragmatism, and a product-oriented mindset
Preferred Qualifications
Experience with conversational AI systems or interactive ML-driven experiences
Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)
Familiarity with Apple platforms, frameworks, or ML infrastructure
Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products
In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices
Description
As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale.
You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.
Minimum Qualifications
Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)
Strong experience with deep learning, particularly in natural language processing and/or multimodal models
Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation
Familiarity with ranking, retrieval, and personalization algorithms
Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)
Experience integrating ML models into production systems
Strong communication skills and the ability to collaborate across disciplines
Curiosity, pragmatism, and a product-oriented mindset
Preferred Qualifications
Experience with conversational AI systems or interactive ML-driven experiences
Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)
Familiarity with Apple platforms, frameworks, or ML infrastructure
Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976