The Mission That Moves Us: Tensor Planet keeps commercial fleets on the road by predicting failures weeks before they happen. We fuse telematics, sensor streams and repair logs with AI to cut breakdowns, lower repair costs and extend vehicle life across the $20B US market. What You Will Do: Build production-grade predictive models: Develop ML models that detect early warning signals in high-frequency vehicle sensor data to improve uptime outcomes. Engineer robust pipelines: Design and maintain ETL workflows to ingest terabytes of IOT data from vehicle systems. Partner with engineering to deploy and monitor models. Innovate with Generative AI: Build components that power our LLM-based conversational intelligence for fleet managers and vehicle technicians. Embed domain expertise: Translate vehicle mechanics knowledge into high-value features. Partner with product teams to ground models in real-world behavior. Elevate technical standards: Implement best practices for reproducibility, testing, model monitoring, and continuous improvement. Challenges You Will Tackle: Sensor Fusion Complexity: Integrating high-frequency CAN-bus streams with third-party IoT feeds, historical maintenance logs and real-world context. Scale & Latency: Delivering real-time predictions across hundreds of vehicles with minimal false positives. Regulatory & Safety Constraints: Ensuring models comply with industry standards and support safety-critical decision-making. Who You Are: Experience: 3+ years in data science with at least 2 years in vehicle telematics, Industrial IoT, or automotive diagnostics. Technical Skills: Expert in Python, ML, SQL/NoSQL and data streaming platforms, deployment workflows - containerization, CI/CD, model tracking and observability. Vehicle Expertise: Familiarity with CAN-bus protocols (J1939, OBD-II..), telematics standards, and core vehicle systems like engine, transmission, and exhaust. Startup DNA: You thrive on ambiguity, unafraid to roll up your sleeves, experiment boldly and learn quickly from failed runs . What’s In It For You? High-impact Ownership: Your work will directly influence fleet safety and power multimillion-dollar savings for customers. Work at the AI Frontier: Innovate with LLMs and real-time ML pushing the boundaries of what's possible with AI , while making it useful and understandable. Compensation & Incentives: Benefit from competitive salaries and ESOPs. Who Are We? Tensor Planet is a fast-growing startup backed by a NYC-based venture accelerator. We’re helping customers across the US cut fleet breakdowns, lower repair costs and extend asset life. What’s Our Culture? We dream big, move with urgency, learn from failures, and thrive on collaboration. We value transparency, curiosity and the right attitude. Tensor Planet is an equal-opportunity employer building a team as diverse as the fleets we serve. Come Join Our Team! If you care about solving real-world problems at scale and enjoy working with complex data, join us now. Be a part of our growth story and scale with us: careers@tensorplanet.com .
The Mission That Moves Us: Tensor Planet keeps commercial fleets on the road by predicting failures weeks before they happen. We fuse telematics, sensor streams and repair logs with AI to cut breakdowns, lower repair costs and extend vehicle life across the $20B US market. What You Will Do: Build production-grade predictive models: Develop ML models that detect early warning signals in high-frequency vehicle sensor data to improve uptime outcomes. Engineer robust pipelines: Design and maintain ETL workflows to ingest terabytes of IOT data from vehicle systems. Partner with engineering to deploy and monitor models. Innovate with Generative AI: Build components that power our LLM-based conversational intelligence for fleet managers and vehicle technicians. Embed domain expertise: Translate vehicle mechanics knowledge into high-value features. Partner with product teams to ground models in real-world behavior. Elevate technical standards: Implement best practices for reproducibility, testing, model monitoring, and continuous improvement. Challenges You Will Tackle: Sensor Fusion Complexity: Integrating high-frequency CAN-bus streams with third-party IoT feeds, historical maintenance logs and real-world context. Scale & Latency: Delivering real-time predictions across hundreds of vehicles with minimal false positives. Regulatory & Safety Constraints: Ensuring models comply with industry standards and support safety-critical decision-making. Who You Are: Experience: 3+ years in data science with at least 2 years in vehicle telematics, Industrial IoT, or automotive diagnostics. Technical Skills: Expert in Python, ML, SQL/NoSQL and data streaming platforms, deployment workflows - containerization, CI/CD, model tracking and observability. Vehicle Expertise: Familiarity with CAN-bus protocols (J1939, OBD-II..), telematics standards, and core vehicle systems like engine, transmission, and exhaust. Startup DNA: You thrive on ambiguity, unafraid to roll up your sleeves, experiment boldly and learn quickly from failed runs . What's In It For You High-impact Ownership: Your work will directly influence fleet safety and power multimillion-dollar savings for customers. Work at the AI Frontier: Innovate with LLMs and real-time ML pushing the boundaries of what's possible with AI , while making it useful and understandable. Compensation & Incentives: Benefit from competitive salaries and ESOPs. Who Are We Tensor Planet is a fast-growing startup backed by a NYC-based venture accelerator. We're helping customers across the US cut fleet breakdowns, lower repair costs and extend asset life. What's Our Culture We dream big, move with urgency, learn from failures, and thrive on collaboration. We value transparency, curiosity and the right attitude. Tensor Planet is an equal-opportunity employer building a team as diverse as the fleets we serve. Come Join Our Team! If you care about solving real-world problems at scale and enjoy working with complex data, join us now. Be a part of our growth story and scale with us: [HIDDEN TEXT] .