Founding ML/Data Engineer - Equity & Flexible Attendance

Primitive Instruments Corporation; New York, Northern (NY, KY); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Equity (substantial)

Unlimited vacation

Equinox membership

Job summary

Primitive Instruments Corporation is hiring its founding ML / data engineer to design and own the data platform end-to-end. You will ingest data from Postgres, SeaweedFS/S3, and telemetry, build a labeling workflow, and run reproducible training stacks on AWS with experiment tracking and versioned datasets.

You will ship low-latency inference, monitor drift, and collaborate with hardware and full-stack teams to embed predictions into the product surface.

Qualifications

• 5+ years in ML / data engineering with a production ML system
• Proficient Python and modern ML tooling (PyTorch, Hugging Face, Ray)
• Experience with data versioning, feature stores, and experiment tracking

Responsibilities

• Design and build end-to-end data platform and labeling workflow
• Operate a reproducible training stack on AWS with experiment tracking
• Ship low-latency inference and batch scoring for product features
• Monitor models in production and manage drift and dashboards
• Collaborate with hardware and full-stack teams to integrate predictions into the product
• Mentor junior engineers on data and ML patterns

Skills

Python

PyTorch

Hugging Face

Ray

Data pipelines

Tools

PostgreSQL

SeaweedFS

Airflow

Dagster

Prefect

MLflow

Job description

Primitive Instruments Corporation is hiring its founding ML / data engineer to design and own the data platform end-to-end. You will ingest data from Postgres, SeaweedFS/S3, and telemetry, build a labeling workflow, and run reproducible training stacks on AWS with experiment tracking and versioned datasets.

You will ship low-latency inference, monitor drift, and collaborate with hardware and full-stack teams to embed predictions into the product surface.