Senior Machine Learning Platform Engineer
Fieldai
- Irvine, California, United States
- Irvine, California, United States
Über
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.
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.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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