AI/ML Engineer

You might be a fit if you have

● 5 + yrs production ML / data-platform engineering (Python or Go/Kotlin).

● Deployed agentic or multi-agent systems (e.g., micro-policy nets, bandit

ensembles) and reinforcement-learning pipelines at scal (ad budget,

recommender, or game AI).

● Fluency with BigQuery / Snowflake SQL & ML plus streaming (Kafka /

Pub/Sub).

● Hands-on LLM fine-tuning using LoRA/QLoRA and proven

prompt-engineering skills (system / assist hierarchies, few-shot, prompt

compression).

● Comfort running GPU & CPU model serving on GCP (Vertex AI, GKE, or

bare-metal K8s).

● Solid causal-inference experience (CUPED, diff-in-diff, synthetic control, uplift).

● CI/CD, IaC (Terraform or Pulumi) & observability chops (Prometheus, Grafana).

● Bias toward shipping working software over polishing research papers.

Bonus points for:

● Postal/geo datasets, ad-tech, or martech domain exposure.

● Packaging RL models as secure micro-services.

● VPC-SC, NIST, or SOC-2 controls in a regulated data environment.

● Green-field impact – architect the learning stack from scratch.

● Moat-worthy data – 260 M+ US consumer graph tying offline & online behavior.

● Tight feedback loops – your models go live in weeks, optimizing large amounts

of marketing spend daily.