Senior/Staff Machine Learning Engineer, Perception at Agtonomy

South San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AgricultureIndustries

Requirements

MS or PhD in Computer Science, AI, or a related field, or 5+ years of industry experience building vision-based perception systems
Deep expertise in developing and deploying machine learning models, particularly for perception tasks such as object detection, segmentation, mono/stereo depth estimation, sensor fusion, and scene understanding
Strong understanding of integrating data from multiple sensors like cameras, LiDAR, and radar
Experience handling large datasets efficiently and organizing them for labeling, training, and evaluation
Fluency in Python and experience with ML/CV frameworks like TensorFlow, PyTorch, or OpenCV, with the ability to write efficient, production-ready code for real-time applications
Proven ability to design experiments, analyze performance metrics (e.g., mAP, IoU, latency), and optimize algorithms to meet stringent performance requirements in dynamic settings
Eagerness to get hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership

Responsibilities

Develop computer vision and machine learning models for real-time perception systems, enabling tractors to identify crops, obstacles, and terrain in varying unpredictable conditions
Build sensor fusion algorithms to combine camera, LiDAR, and radar data, creating robust 3D scene understanding that handles challenges like crop occlusions or GNSS drift
Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance
Design and test data pipelines to curate and label large sensor datasets, ensuring high-quality inputs for training and validation, with tools to visualize and debug failures
Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems

Skills

Key technologies and capabilities for this role

Computer VisionMachine LearningSensor FusionLiDARRadarCamera ProcessingModel OptimizationEmbedded HardwareData Pipelines3D Scene Understanding

Questions & Answers

Common questions about this position

What education or experience is required for this role?

Candidates need an MS or PhD in Computer Science, AI, or a related field, or 5+ years of industry experience building vision-based perception systems.

What technical skills are essential for this position?

Deep expertise in computer vision and machine learning for perception tasks like object detection, segmentation, depth estimation, and sensor fusion is required, along with fluency in Python and experience with frameworks like TensorFlow, PyTorch, or OpenCV.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require on-site work?

This information is not specified in the job description.

What is the company culture like at Agtonomy?

Agtonomy has a tight-knit group of bold thinkers—engineers, innovators, and industry experts—who thrive on turning audacious ideas into reality.

Agtonomy

Autonomous AI solution for efficient farming

About Agtonomy

Agtonomy focuses on improving farming through technology with its product, TeleFarmer. TeleFarmer is an autonomous device that helps farmers perform various labor-intensive tasks, even in difficult terrains, which lessens their physical workload. Accompanying the device is an app that enables farmers to plan tasks, assign them, monitor progress, and review performance reports easily. This combination of hardware and software allows for more efficient management of agricultural fields. Unlike many competitors, Agtonomy offers a trial of their solution, allowing potential customers to experience its benefits before committing to a purchase. The company's goal is to enhance farming efficiency and profitability, making it easier for farmers to manage their operations.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$53.5MTotal Funding

SERIES_ACompany Stage

Food & Agriculture, AI & Machine LearningIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Stock Options

Commuter Benefits

Flexible Spending Account/Flexible Spending Account

Risks

Increased competition from established companies like John Deere challenges Agtonomy's market position.

Rapid technological advancements require continuous innovation, straining Agtonomy's resources.

Reliance on partnerships poses risks if partners develop competing technologies.

Differentiation

Agtonomy's TeleFarmer offers a unique hybrid autonomous and tele-assist platform for farmers.

The Smart Farm Task Ecosystem connects tractors and tools for seamless autonomous task execution.

Agtonomy partners with trusted equipment manufacturers, enhancing credibility and market reach.

Upsides

Agtonomy raised $32.8M in Series A funding, boosting growth and market expansion.

The trend towards sustainable farming aligns with Agtonomy's focus on efficiency and sustainability.

Partnerships with equipment manufacturers create a favorable environment for Agtonomy's strategy.

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