1

Contract Meta Machine Learning Jobs in Riverside, CA

... Contract, potential for extension) Visa Status: H-1B, GC, or USC accepted Job Summary We are ... Solid Data Science experience (statistical analysis, predictive analytics, machine learning ...

Sr. Manager Durability CAE

Irvine, CA · On-site

$196K - $245K/yr

... integration of AI/Machine Learning for automation. • Test-to-Simulation Correlation: Lead ... Expert-level command of pre/post-processing tools such as ANSA, HyperMesh, HyperView, or Meta/Post ...

Sr. Manager Durability CAE

Irvine, CA · On-site

$196K - $245K/yr

... Machine Learning for automation. Test-to-Simulation Correlation: Lead correlation efforts using ... Expert-level command of pre/post-processing tools such as ANSA, HyperMesh, HyperView, or Meta/Post.

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

Showing results 21-40

Contract Meta Machine Learning information

See Riverside, CA salary details

$15

$22

$27

How much do contract meta machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for contract meta machine learning in Riverside, CA is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $23.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are popular job titles related to Contract Meta Machine Learning jobs in Riverside, CA? For Contract Meta Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Riverside, CA look for? The top searched job categories for Contract Meta Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Contract Meta Machine Learning jobs? Cities near Riverside, CA with the most Contract Meta Machine Learning job openings:
Infographic showing various Contract Meta Machine Learning job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,283 per year, or $22.3 per hour.

Senior Software Engineer, Robotics- Behavior & Interaction

FieldAI

Irvine, CA • On-site

$160 - $220/hr

Other

Posted 16 days ago


Job description

Irvine, CA · Engineering – Autonomy · Full time · On-site

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

As a Senior Software Engineer in Behavior & Interaction, you will own the software systems that turn raw autonomy into finished missions. You operationalize that autonomy into repeatable, user-facing missions, design how humans task and collaborate with our robots, and deliver the insights our customers actually act on. You will architect and ship the behavior orchestration, robot interaction, and mission-to-insight pipelines that operate in some of the world's challenging industrial environments. This is a senior role for an engineer who wants to own systems end to end,and see their work run in the field.

What You Will Get To Do
  • Own the behavior and mission layer that operationalizes autonomy: design and build the software that turns core autonomy capabilities into repeatable, reliable, customer-facing missions.

  • Architect behavior orchestration for autonomous missions: mission definition and execution, and robust fallback and recovery behaviors for unstructured environments.

  • Design and build human and robot interaction behavior.

  • Validate behaviors on physical platforms in real customer conditions, then close the loop from field data back into the product.

  • Lead design reviews, make architecture decisions, and raise the engineering bar across the team.

  • Mentor engineers and collaborate across autonomy, perception, product, field deployment, and customer-facing teams.

What You Have
  • Master's degree or PhD degree in Computer Science, Electrical Engineering, Robotics, or a related technical field, and significant experience building and shipping production-quality software (senior-level; typically 5+ years, with meaningful robotics or autonomy work).

  • Expert-level Python and C++, writing clean, efficient, maintainable code using modern best practices.

  • Deep, hands-on experience with ROS2, designing, building, and deploying custom nodes and complex systems into production robots.

  • Proven experience building behavior orchestration systems (behavior trees, state machines, task/mission planning and execution).

  • Experience building human-in-the-loop or operator-facing systems: HRI, teleoperation, supervisory control, dashboards, or tasking and monitoring tools.

  • Strong system design skills across APIs, inter-process communication (IPC), middleware, networking, and real-time data pipelines.

  • A track record of shipping to production and iterating from real-world use, including turning field data into product improvements.

  • Strong problem-solving skills and attention to detail, able to lead independently while managing multiple priorities.

  • Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset.

What Will Set You Apart
  • Experience deploying robotic software in production industrial environments

  • Background in robotics reasoning, planning, or HRI

  • Experience with fleet management or multi-robot coordination.

  • Familiarity with perception and machine learning

  • Background on computationally constrained platforms and optimizing for real-time performance.

  • Understanding of safety standards and compliance in robotics.

Compensation and Benefits

$160,000 – $220,000 a year

Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience, and the Irvine, California market. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.

Why Join FieldAI in Irvine?

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.

You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Meta, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution

We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and across the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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.

#J-18808-Ljbffr