FieldAI
Senior Machine Learning Platform Engineer
Base pay range: $70,000.00/yr - $200,000.00/yr
Overview Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address complex robotics challenges, unlocking embodied intelligence. Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture multimodal data across diverse environments. As part of the Insight Team, our mission is to transform this raw data into actionable insights that empower customers and engineers to deliver value.
What You’ll Do
Design and operate large-scale ML platforms and infrastructure
Own model hosting, distributed training pipelines, data systems, observability, and security
Ensure FiFM transitions from research to production, optimizing for performance and cost across cloud and edge
Mentor junior engineers, set technical direction, and raise the engineering bar across the team
Build core infrastructure and collaborate with AI/ML engineers to productionize workflows
Maintain reliability and observability with monitoring, logging, and alerting
Enforce best practices in security, compliance, and maintainability
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 software engineering best practices
Experience with distributed systems, cloud platforms (AWS preferred), containers/orchestration (Docker, Kubernetes/EKS, Ray), and serverless
Hands-on experience building ML pipelines for distributed training and large-scale inference
Knowledge of data management at scale, including preprocessing and retrieval of video/image datasets
Proficiency with CI/CD, 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 and retrieval-augmented generation
Strong knowledge of security and compliance in ML and cloud environments
Compensation and Benefits Our salary range is generous ($70,000 - $200,000 annual); base pay offered may vary based on location, experience, and knowledge. We are open to hybrid or remote options.
Why Join Field AI? We solve 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, with a focus on explainability and safe deployment. You will work with a world-class team that thrives on creativity, resilience, and bold thinking.
We are headquartered in Mission Viejo, CA, with US-based and global teammates. We celebrate diversity and are committed to an inclusive environment where merit, qualifications, and performance drive opportunities. We do not discriminate on race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, or any legally protected status.
Seniority level Not applicable
Employment type Full-time
Job function Engineering and Information Technology
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Overview Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address complex robotics challenges, unlocking embodied intelligence. Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture multimodal data across diverse environments. As part of the Insight Team, our mission is to transform this raw data into actionable insights that empower customers and engineers to deliver value.
What You’ll Do
Design and operate large-scale ML platforms and infrastructure
Own model hosting, distributed training pipelines, data systems, observability, and security
Ensure FiFM transitions from research to production, optimizing for performance and cost across cloud and edge
Mentor junior engineers, set technical direction, and raise the engineering bar across the team
Build core infrastructure and collaborate with AI/ML engineers to productionize workflows
Maintain reliability and observability with monitoring, logging, and alerting
Enforce best practices in security, compliance, and maintainability
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 software engineering best practices
Experience with distributed systems, cloud platforms (AWS preferred), containers/orchestration (Docker, Kubernetes/EKS, Ray), and serverless
Hands-on experience building ML pipelines for distributed training and large-scale inference
Knowledge of data management at scale, including preprocessing and retrieval of video/image datasets
Proficiency with CI/CD, 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 and retrieval-augmented generation
Strong knowledge of security and compliance in ML and cloud environments
Compensation and Benefits Our salary range is generous ($70,000 - $200,000 annual); base pay offered may vary based on location, experience, and knowledge. We are open to hybrid or remote options.
Why Join Field AI? We solve 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, with a focus on explainability and safe deployment. You will work with a world-class team that thrives on creativity, resilience, and bold thinking.
We are headquartered in Mission Viejo, CA, with US-based and global teammates. We celebrate diversity and are committed to an inclusive environment where merit, qualifications, and performance drive opportunities. We do not discriminate on race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, or any legally protected status.
Seniority level Not applicable
Employment type Full-time
Job function Engineering and Information Technology
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