FieldAI · 11 hours ago
1.65 Senior Machine Learning Platform Engineer
Irvine, CA
Full-time
Onsite
Mid, Senior Level
4+ years expFieldAI is transforming how robots interact with the real world, building risk-aware, reliable AI systems to tackle complex challenges in robotics. As a Senior Machine Learning Platform Engineer, you will own the infrastructure that powers the Field-insight Foundation Model, designing and operating large-scale ML platforms and mentoring junior engineers.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
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
Qualification
Required
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
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
Preferred
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
11-50 employees
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
Company data provided by crunchbase