Principal ML & AI Engineer

🔥 21 hours ago

🇺🇸 United States – Remote

💵 $195k - $210k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HERE Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📦 Logistics

🚀 Aerospace

Consulting • Logistics • Aerospace

HERE Technologies is a leading provider of mapping and location data services, specializing in advanced location solutions for various industries, including automotive. Their products range from dynamic map content and routing services to tools for automated driving and fleet management. With a focus on precision and innovation, HERE Technologies empowers businesses with high-quality geographical data to enhance navigation and develop next-generation, software-defined vehicle systems.

📋 Description

• Build tooling, technical guardrails, compliance processes, and best practices for AI-enabled products and services • Own the MLOps foundation behind the shared AI platform • Create repeatable delivery pipelines and infrastructure automation • Manage model and prompt lifecycles • Build and operate production serving, observability, evaluation, and cost-efficient operations • Set technical direction and establish operational standards • Write production code and infrastructure-as-code • Embed with consuming teams to move AI workloads from prototype to dependable production services • Work closely with the platform architect and security, identity, data, and application teams • Develop agentic AI infrastructure and governance across security, OSS compliance, and AI governance domains

🎯 Requirements

• Extensive experience building and operating production MLOps or AI platform capabilities in an enterprise environment • Strong software engineering skills, especially Python • Track record of owning systems from design through production operations • Deep experience with CI/CD, GitOps, infrastructure-as-code, containerized workloads, and automated environment promotion • Strong AWS-native infrastructure experience, including Bedrock, EC2, IAM, load balancing, networking, and secrets management • Experience with Kubernetes and Terraform or equivalent technologies • Production model-serving experience, including endpoint management, autoscaling, resilience, rollout and rollback, performance testing, and capacity planning • Observability and site reliability expertise, including metrics, dashboards, alerting, distributed tracing, audit logging, service-level objectives, incident response, and root-cause analysis • Experience with model, prompt, dataset, and artifact versioning; registries; lineage; reproducibility; and release governance • Experience implementing automated AI evaluation and regression gates, including quality, latency, reliability, and cost signals • Operational experience with RAG pipelines, embedding workflows, vector stores, ingestion, indexing, and data freshness controls • Understanding of multi-tenant isolation, identity and secrets integration, policy enforcement, and cost attribution for shared platforms • Principal-level technical leadership, including setting direction across teams, simplifying ambiguous problems, mentoring engineers, and influencing architecture without relying on organizational authority • Customer-facing instincts to run discovery, explain trade-offs to technical and executive audiences, and earn trust in security-sensitive organizations • Successful completion of a background verification process

🏖️ Benefits

• Annual performance bonus subject to company and individual performance • Health insurance (Medical/Dental/Vision) • Retirement savings plans • Paid time off and leave policies