- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Education
- Master
- Source
- RecruiterFlow
Description
Position Name - Engineering Lead
Location - Remote
Experience Range - 5+ Years
Mandatory Requirement:
- Expert in Python, ML, SQL/NoSQL and data streaming platforms, deployment workflows - containerization, CI/CD, model tracking and observability.
- Deep familiarity with CAN-bus protocols (J1939, OBD-II), telematics standards, and core vehicle systems like engine, transmission, and exhaust.
- Proven track record mentoring teams, delivering production ML models, and translating technical concepts to non-technical stakeholders.
About the client:
Our client is a fast-growing startup backed by a NYC-based venture accelerator, helping fleets across the U.S. reduce breakdowns, lower repair costs, and extend asset life. Their culture is built on big ideas, urgency, and collaboration—they learn quickly, value transparency and curiosity, and believe attitude matters as much as talent. Our client is an equal-opportunity employer committed to building a diverse team that reflects the fleets they serve.
Job Roles and Responsibilities:
- Help shape our ML roadmap and drive outcomes to improve uptime and minimize false positive alerts.
- Design ETL pipelines to ingest terabytes of IOT data from diverse vehicle systems. Collaborate with engineering to productionize models.
- Build ML algorithms and LLM-based conversational intelligence to power copilots for fleet managers and vehicle technicians.
- Translate Vehicle Mechanics knowledge into high value features. Partner with product teams to ground models in real-world behavior.
- Grow and coach a data science team. Establish best practices for model monitoring, explainability, and reproducibility.
Other Details:
- Benefit from competitive salaries and ESOPs.
Skills
PythonCI/CDSQLData ScienceETL
