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Remote Algorithms Engineer Jobs in Riverside, CA

Zorts Sports

Software Engineer

Claremont, CA · Remote

Salary: 100k - 125k Annual Software Engineer Flash Biometrics | Hybrid/Remote Claremont, CA Salary ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Apply Advanced Algorithms: Utilize specialized algorithms for Entity Disambiguation and Ontology ...

Tunabear

Peoplesoft Payroll Developer

Riverside, CA · Remote

Peoplesoft Payroll Developer * Full time contract (1099/C2C) * 100% remote (PST) Scope of Work ... Analyzes existing highly complex software or works to formulate logic and devises algorithms for ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

... algorithms, indexing, recall and precision trade-offs, and relevance tuning. * Knowledge of key ... Leadership experience in distributed or remote engineering teams, driving execution across time ...

All JobsAlgorithms Engineer JobsRemote Algorithms Engineer JobsRemote Algorithms Engineer Jobs in Riverside, CA

Remote Algorithms Engineer information

See Riverside, CA salary details

$62.1K

$116.5K

$211.8K

How much do remote algorithms engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote algorithms engineer in Riverside, CA is $116,462.00, 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 the key skills and qualifications needed to thrive in the Remote Algorithms Engineer position, and why are they important?

To thrive as a Remote Algorithms Engineer, a strong background in computer science, mathematics, and algorithm design—often demonstrated by a relevant degree or experience—is essential. Familiarity with programming languages like Python, C++, or Java, and tools such as Git, as well as knowledge in areas such as machine learning libraries or optimization frameworks, are typically required. Excellent problem-solving abilities, self-motivation, and strong written communication skills help remote engineers collaborate effectively across distributed teams. These skills ensure efficient development, collaboration, and deployment of robust algorithmic solutions in a remote work environment.

What is a Remote Algorithms Engineer job?

A Remote Algorithms Engineer designs, analyzes, and optimizes algorithms to solve complex computational problems while working remotely. They develop efficient solutions for data processing, machine learning, optimization, and other technical challenges. This role typically involves implementing algorithms in programming languages like Python, C++, or Java, optimizing performance, and collaborating with distributed teams. Remote engineers use tools like version control systems, cloud computing, and communication platforms to stay connected. Strong problem-solving skills, mathematical knowledge, and coding expertise are essential for success in this role.

What are the typical daily responsibilities of a Remote Algorithms Engineer?

As a Remote Algorithms Engineer, your typical day will involve designing, implementing, and testing algorithms to solve complex technical problems, often as part of cross-functional projects. You will frequently analyze data, optimize existing code, and collaborate with engineers, data scientists, or product managers through virtual meetings and code reviews. Documenting your work and communicating progress in a clear, organized way is crucial in remote settings to ensure alignment with team goals. Additionally, staying updated on new algorithmic techniques and continuously improving your skills can help drive innovation and personal growth in this role.

What are popular job titles related to Remote Algorithms Engineer jobs in Riverside, CA? For Remote Algorithms Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Remote Algorithms Engineer jobs? Cities near Riverside, CA with the most Remote Algorithms Engineer job openings:
Remote Algorithms Engineer jobs near you
Infographic showing various Remote Algorithms Engineer job openings in Riverside, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $116,462 per year, or $56 per hour.

Robotics Autonomy Engineer-Planning and Control-Federal

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Posted 13 days ago

Job description

Who are We?

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.

Learn more at https://fieldai.com.

About the Job

Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 

As our Robotics Autonomy Engineer – Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI.

What You’ll Get To Do

1. Develop Robust Motion Planning Algorithms

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.

  • Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.

  • Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.

2. Advance Control and Planning Integration

  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.

  • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.

3. Validate and Test Across the Stack

  • Build and maintain testing pipelines from unit-level validation to full robot deployment.

  • Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.

  • Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.

4. Diagnose and Improve Field Performance

  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

  • Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.

What You Have

  • Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).

  • Strong understanding of motion planning, trajectory generation, and control systems.

  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).

  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc

  • Solid programming skills in C++ and Python on Linux-based systems.

  • Familiarity with robotics middleware such as ROS/ROS 2.

  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.

  • Ability to work on US government project

The Extras That Set You Apart

  • Exposure to real-world deployment of autonomous systems.

  • Background in optimization, control, or numerical methods for trajectory planning.

  • Familiarity with learning-based or hybrid planning approaches.

  • Contributions to open-source planning or control frameworks.

  • Familiarity with safety-critical autonomy and industrial robotics use cases.

This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. 
 
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.