lever
1.65 Senior Machine Learning Platform Engineer
Field-ai
Irvine, USA
Full-time
Senior · 4+ years experience
Onsite
Discovered 1 weeks ago
TerraformCloudFormationAWSDockerKubernetesRay
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
TerraformCloudFormationAWS
Key Skills for This Role
TerraformCloudFormationAWSDockerKubernetesRay
Full Job Posting
- 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.
- 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.
- 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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Field-ai
Senior Software Engineer, Multiagent Simulation
Boston, USA
SeniorFull-time
FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unl
Discovered YesterdayView →
2.6 Software Engineer: Telepresence & Networking Engineer
Irvine, USA
MidFull-time
Discovered 1 weeks agoView →
1.92 Robotics Autonomy Engineer - Federal Projects
Irvine, USA
MidFull-time
Discovered 1 weeks agoView →
Senior Software Engineer, Multiagent Simulation
Boston, USA
Discovered YesterdayFull-time
2.6 Software Engineer: Telepresence & Networking Engineer
Irvine, USA
Discovered 1 weeks agoFull-time
1.92 Robotics Autonomy Engineer - Federal Projects
Irvine, USA
Discovered 1 weeks agoFull-time
3.8 Software Engineer: Infrastructure and Tools
Irvine, USA
Discovered 1 weeks agoFull-time
1.51 Robotics Autonomy Engineer - Locomotion
Irvine, USA
Discovered 1 weeks agoFull-time
Electrical Engineer-Robotics Hardware
Irvine, USA
Discovered 1 weeks agoFull-time
Mechanical Engineer, Robotics Hardware
Irvine, USA
Discovered 1 weeks agoFull-time
Embedded Systems Engineer, Robotics Hardware
Irvine, USA
Discovered 1 weeks agoFull-time