ZipRecruiter

Log In

1

Ai Algorithm Engineer Jobs in Fullerton, CA (NOW HIRING)

DataAnnotation

SDLC Engineer - AI Trainer

Corona, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Anaheim, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Costa Mesa, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Los Angeles, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Santa Ana, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Burbank, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Garden Grove, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Orange, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Glendale, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

West Covina, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Downey, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Riverside, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

SDLC Engineer - AI Trainer

Fullerton, CA · Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

next page

Showing results 1-20

All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Fullerton, CA

Ai Algorithm Engineer information

See Fullerton, CA salary details

$62.1K

$116.5K

$211.8K

How much do ai algorithm engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ai algorithm engineer in Fullerton, CA is $116,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $138,200.00 per year, depending on experience, location, and employer.

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Fullerton, CA? For Ai Algorithm Engineer jobs in Fullerton, CA, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Fullerton, CA look for? The top searched job categories for Ai Algorithm Engineer jobs in Fullerton, CA are:
What cities near Fullerton, CA are hiring for Ai Algorithm Engineer jobs? Cities near Fullerton, CA with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you

1.5 Robotics AI Engineer - Field Foundation Models & Dynamics Foundation Models

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Re-posted 26 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Are you driven by the challenge of building next-generation AI-powered robotics? Do you thrive at the intersection of advanced autonomy, real-world deployment, and AI-native decision-making? We are seeking a Robotics AI Engineer - Field Foundation Models & Dynamics Foundation Models to push the boundaries of risk-aware, self-evolving robotic intelligence. In this role, you will design, develop, and implement cutting-edge AI-driven planning and control architectures, ensuring our robots operate seamlessly in unstructured, high-stakes environments. This is your opportunity to redefine the future of embodied AI, working alongside a world-class team that values bold innovation, hands-on execution, and AI-first engineering. If you're eager to build autonomy that adapts, learns, and makes decisions with intelligence beyond traditional models, we want to hear from you!
What You Will Get To Do
  • Algorithm Development
  • Design and implement next-generation AI-powered Field Foundation Models (FFMs) and Dynamics Foundation Models (DFMs). Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments.
  • Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments.
 
  • Software Integration and Testing
  • Work extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modules modules.
  • Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior.
 
  • Hands-On Robotics Deployment
  • Collaborate with hardware teams to ensure seamless software-hardware integration.
  • Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.
 
  • Cross-Team Collaboration
  • Work closely with other engineering teams to align development efforts and achieve cohesive system performanc
  • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.
What You Have
  • Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration. 
  • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions.
  • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field.
  • Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization.
  • Ability and availability to travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel).
  • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.
What Will Set You Apart
  • Experience with GPU programming (CUDA C++, PyTorch) a significant plus.
  • Experience with real-time systems or robotics middleware.
  • Familiarity with sensor integration and perception algorithms.
  • Knowledge of machine learning techniques applied to robotics.
  • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
  • Experience working in harsh or outdoor environments.
  • Experience working with humanoid or legged robots.
  • Advanced degree (Bachelors, Master's) in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Understanding of safety standards and compliance in robotics.
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply