All jobs

Customer-facing instincts plus working code; dbt certification not held.

NL-to-SQL over customer data is close to Atlas Notes retrieval; missing their dbt layer.

Vision-lab metrics work matches their dbt evaluation loop.

Fine-tuning record fits their model team; Ray pipeline is new territory.

Streaming and Kubernetes pipeline experience carries the data half of the role.

Customer-facing LLM deployments are exactly her Halespring + Ledgerlight profile; Go and Postgres cover their integration stack.

Building code-assistant features needs the prompt-eval loop she built in Signalcast; TypeScript depth checks out.

Serving and eval work on open-weight models lines up with Signalcast and her vision-lab fine-tuning.

Solid stack match on Python and Kafka; scope reads slightly senior.

Signalcast is nearly this job: regression evals in CI, harness design, metric dashboards.

Backend depth from Brightpath fits; Ray exposure would need ramp-up.

Eval-first team; Signalcast experience is the differentiator, Kafka less so.

Backend depth from Brightpath fits; Snowflake exposure would need ramp-up.

Event-driven pricing needs the idempotent-API habits from Brightpath payments; freight domain is new.

Vision-lab metrics work matches their Airflow evaluation loop.

Fraud-signal modeling maps to her two-tower ranking work; payments-domain experience from Brightpath is a direct hit.

Streaming and Kafka pipeline experience carries the data half of the role.

Go services at Brightpath and the p99 latency story fit their storage-path team; distributed-systems coursework helps.

Customer-facing instincts plus working code; Snowflake certification not held.

Feature-store and pipeline work overlaps Halespring; their Ray stack is a gap.

tailoring failed, hover to see why

Retrieval work maps to Atlas Notes; their Snowflake stack is a modest gap.

Streaming ingestion matches her BigQuery feature-store build; no energy-sector background.

Fine-tuning record fits their model team; Terraform pipeline is new territory.

Recsys overlap from Halespring is strong; domain knowledge in dbt is thin.

Recsys overlap from Halespring is strong; domain knowledge in Spark is thin.

Streaming and Terraform pipeline experience carries the data half of the role.

Eval-first team; Signalcast experience is the differentiator, Kafka less so.

Strong on APIs and Postgres; Airflow is listed as required and unproven.

Streaming and C++ pipeline experience carries the data half of the role.

Streaming and Spark pipeline experience carries the data half of the role.

Eval-first team; Signalcast experience is the differentiator, Kafka less so.

Eval-first team; Signalcast experience is the differentiator, dbt less so.

Strong on APIs and Postgres; Rust is listed as required and unproven.

Streaming and Kubernetes pipeline experience carries the data half of the role.

Eval-first team; Signalcast experience is the differentiator, Snowflake less so.

Eval-first team; Signalcast experience is the differentiator, dbt less so.

Fine-tuning record fits their model team; Snowflake pipeline is new territory.

Fine-tuning record fits their model team; Rust pipeline is new territory.

Customer-facing instincts plus working code; Rust certification not held.

Strong on APIs and Postgres; Ray is listed as required and unproven.

Retrieval work maps to Atlas Notes; their Terraform stack is a modest gap.

Backend depth from Brightpath fits; Rust exposure would need ramp-up.

Strong on APIs and Postgres; dbt is listed as required and unproven.

Backend depth from Brightpath fits; dbt exposure would need ramp-up.

Retrieval work maps to Atlas Notes; their Rust stack is a modest gap.

Solid stack match on Python and Airflow; scope reads slightly senior.

Streaming and Terraform pipeline experience carries the data half of the role.

Fine-tuning record fits their model team; Terraform pipeline is new territory.

Retrieval work maps to Atlas Notes; their Kafka stack is a modest gap.

Customer-facing instincts plus working code; Kubernetes certification not held.

Solid stack match on Python and Snowflake; scope reads slightly senior.

Vision-lab metrics work matches their Kubernetes evaluation loop.

Streaming and Kubernetes pipeline experience carries the data half of the role.

Eval-first team; Signalcast experience is the differentiator, dbt less so.

Recsys overlap from Halespring is strong; domain knowledge in Airflow is thin.

Vision-lab metrics work matches their Kafka evaluation loop.

Customer-facing instincts plus working code; Terraform certification not held.