Senior/Staff Machine Learning Engineer, Perception

Agtonomy

ML Engineer building perception systems to enable autonomous machines with human-like awareness in agriculture. Join a team focused on transforming vital industries.

Posted 7/22/2026full-timeSouth San Francisco • California • 🇺🇸 United StatesSenior💰 $200,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying perception models, including sensor fusion and real-time optimization for performance and accuracy. Proficient in handling large datasets and designing robust evaluation pipelines for multi-sensor systems.

Highest-signal resume keywords

Perception Model DevelopmentMulti-Sensor IntegrationPython ProgrammingDeep Learning FrameworksData Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DetectionSegmentation3D Scene UnderstandingSensor FusionReal-Time SystemsModel OptimizationExperiment DesignPerformance Metrics AnalysisAuto-Labeling PipelinesLarge Dataset Management

Soft Skills

CollaborationAgilityOwnership

Tools & Technologies

PyTorchTensorFlowOpenCV

Industry Keywords

Computer ScienceAIVision-Based Perception SystemsGNSSCalibrationSpatiotemporal SyncTeacher-Student DistillationVisualization ToolsDebugging ToolsReal-World Performance

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop real-time perception models for open-world obstacle and terrain understanding.
Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages.
Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance.
Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions.
Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling.
Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems.

Requirements

What you’ll need

A MS/PhD in Computer Science, AI, or a related field, or 6+ years of industry experience building vision-based perception systems.
Deep expertise developing and deploying modern perception models: detection, segmentation, mono/stereo/metric depth, BEV/occupancy, sensor fusion, and 3D scene understanding.
Fluency adapting, fine-tuning, and distilling large pre-trained vision and vision-language models.
Strong grounding in multi-sensor integration (camera, LiDAR, radar): calibration, spatiotemporal sync, and cross-modal fusion.
Experience handling large datasets efficiently and organizing them for labeling, training and evaluation.
Fluency in Python with PyTorch/TensorFlow/OpenCV and the ability to write efficient, production-ready code for real-time systems.
Proven ability to design experiments, analyze metrics (mAP, IoU, latency/throughput, and calibration/ECE), and optimize to meet stringent real-world performance and safety requirements.
An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership.

Benefits

Comp & perks

100% covered medical, dental, and vision for the employee (partner, children, or family is additional)
Commuter Benefits
Flexible Spending Account (FSA or HSA)
Life Insurance
Short- and Long-Term Disability
401k Plan
Stock Options
Collaborative work environment working alongside passionate mission-driven team!