1

Machine Learning Engineer Associate Jobs in Irvine, CA

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Manager, Applied Science

Irvine, CA · On-site

$180K - $220K/yr

Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives. * Own the end-to-end development, deployment ...

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... The Data Engineering Intern supports the development of scalable data systems and infrastructure ...

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... The Data Engineering Intern supports the development of scalable data systems and infrastructure ...

next page

Showing results 1-20

Machine Learning Engineer Associate information

See Irvine, CA salary details

$44.5K

$88.7K

$141.7K

How much do machine learning engineer associate jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning engineer associate in Irvine, CA is $88,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Irvine, CA? The most popular types of Machine Learning Engineer jobs in Irvine, CA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Irvine, CA? For Machine Learning Engineer Associate jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Irvine, CA look for? The top searched job categories for Machine Learning Engineer Associate jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Machine Learning Engineer Associate jobs? Cities near Irvine, CA with the most Machine Learning Engineer Associate job openings:
Infographic showing various Machine Learning Engineer Associate job openings in Irvine, CA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $88,701 per year, or $42.6 per hour.

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA

$112K - $154K/yr

Full-time

Re-posted 25 days ago


Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Get To Do:
  • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
  • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
  • Build and operate data systems for large-scale video ingestion, indexing, and storage.
  • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
  • Ensure reliability and observability with monitoring, logging, and alerting.
  • Collaborate with AI/ML Engineers to productionize workflows.
  • Optimize infrastructure for performance and cost across cloud and edge.
  • Enforce best practices in security, compliance, and maintainability.
  • Mentor and manage junior engineers, providing technical guidance and career development.
What You Have:
  • Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • 4+ years of industry experience in ML infrastructure or platform engineering.
  • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
  • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
  • Hands-on experience building ML pipelines for distributed training and large-scale inference.
  • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
  • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
  • Experience with system monitoring and observability in production.
The Extras That Set You Apart:
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
  • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
  • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
  • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
  • Strong knowledge of security and compliance in ML and cloud environments.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

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, 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 around 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 statu
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