Data and ML Infrastructure Engineer is a remote role at havocai that focuses on building data infrastructure and pipelines to support autonomous systems development, and it suits engineers with a background in data engineering or MLOps who want to shape multimodal data platforms.
Role Overview
Data and ML Infrastructure Engineer at havocai is a remote, full-time position focused on designing and maintaining the data pipelines and tooling that transform large volumes of operational data into organized datasets. The person in this role builds infrastructure for video, imagery, telemetry, and sensor data to enable autonomy and perception engineering teams to train models, evaluate system performance, and reproduce failures effectively.
Key Responsibilities
Build and maintain infrastructure for video, imagery, telemetry, sensor data, autonomy logs, mission data, and field-test data.
Own data ingestion, storage, indexing, metadata, access patterns, and lifecycle management within the data lake.
Develop scalable pipelines that transform raw operational data into curated datasets for machine learning training, evaluation, debugging, and analysis.
Build tools for searching, filtering, tagging, and retrieving data across platforms, missions, operating conditions, and events.
Build workflows to select, clean, label, validate, and version datasets while supporting annotation and labeling workflows.
Develop automated checks for missing streams, corrupted files, synchronization issues, metadata gaps, labeling errors, and pipeline failures.
Build self-service tools that make operational data easier for engineers to discover, access, analyze, and use.
Requirements
Bachelor's degree in Computer Science, Data Science, Machine Learning, Electrical Engineering, Computer Engineering, Robotics, Applied Mathematics, or a related technical field.
3+ years of experience in data engineering, machine learning infrastructure, data platforms, backend systems, MLOps, or related engineering roles.
Experience designing and operating production data pipelines for large-scale structured, semi-structured, or unstructured datasets.
Experience supporting defense, robotics, autonomy, aerospace, or dual-use technology programs.
Experience working with video, imagery, time-series telemetry, sensor data, logs, or other high-volume operational data.
Strong programming skills in Python and SQL.
Experience with cloud storage, object stores, data lakes, databases, distributed processing, or modern data platforms.
Familiarity with dataset versioning, metadata management, data lineage, access controls, and reproducible data workflows.
Strong software engineering fundamentals, including testing, reliability, maintainability, and observability.
U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance.
Nice to Have
Experience with machine learning infrastructure, MLOps, training pipelines, experiment tracking, model evaluation, or model registries.
Experience managing video, perception, telemetry, or autonomous-system datasets.
Experience with technologies such as S3-compatible storage, PostgreSQL, Spark, Ray, Airflow, Dagster, Kubernetes, Docker, or Kafka.
Experience with data catalogs, dataset versioning platforms, feature stores, or labeling tools.
Experience building search, replay, visualization, or analysis tools for video, telemetry, logs, or sensor data.
Familiarity with sensor synchronization, timestamp alignment, calibration metadata, log replay, or multimodal dataset construction.
Experience with security, access controls, auditability, and data-handling requirements in government or defense environments.
Active or prior security clearance.
Skills and Tools
Python
SQL
S3-compatible storage
PostgreSQL
Spark
Ray
Airflow
Dagster
Kubernetes
Docker
Kafka
Salary and Benefits
Salary range of $150K to $185K
Equity package and bonus offers
100% employer-paid Health, Dental, and Vision Insurance for employees and families
Employer-paid Life Insurance
401(k) program with matching
Unlimited PTO policy with an enforced 2-week minimum
Work and home office stipend
Global Entry
16-week paid parental leave
Monthly health and wellness stipend
About the Company
havocai, founded in 2024 and headquartered in Providence, Rhode Island, is a leader in all-domain collaborative autonomy. The company develops software-defined hardware approaches that power military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex environments.
How to Apply
Apply on the official company careers page.
