Perception Engineer

BHF Robotics; Markham; On-site; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Health & Dental

Stock options

Bonus plan

Travel assist

Job summary

BH Frontier Solutions Inc. seeks a skilled Computer Vision Engineer to advance autonomous agricultural robotics.

You will lead research and development across perception, deep learning, and deployment into production systems, collaborating with a small agile team in a fast-paced startup environment. The role emphasizes hands-on experimentation, rigorous data quality, and scalable model deployment, with opportunities for technical leadership and ownership of end-to-end CV projects on real-world

Qualifications

• MSc/PhD in Computer Science, Electrical Engineering, Robotics or related field.
• 2+ years in computer vision, deep learning, ML engineering/research.
• Proven real-world CV projects from scratch to production.

Responsibilities

• Evaluate state-of-the-art CV techniques for plant detection, tracking and classification.
• Generate synthetic data and manage data pipelines.
• Develop and optimize CV/ML models for production-scale deployment.

Skills

Computer Vision

Deep Learning

ROS/ROS2

Python

C++

Model deployment

Education

MSc/PhD in CS/CE/Robotics

Tools

OpenCV

ROS/ROS2

TensorFlow/PyTorch

Job description

About the Company

BH Frontier Solutions Inc. is a venture-backed fast-growing agricultural technology company that is currently transforming the technological landscape in agriculture. We specialize in designing and manufacturing agricultural robots that leverage frontier technology and AI research to tackle significant issues in agriculture. We apply artificial intelligence, perception, electrification technology, and robotics that enable data-driven agricultural management and precision treatment, and help growers to build a fully autonomous, efficient and sustainable farming system. We would like to invite the smartest and most committed engineers, scientists, agricultural experts, and technologists, who united around the mission to drive the next Agtech revolution, to join us.

About the Role

The ideal candidate has a solid background in perceptions. Creative problem solvers, quick learners and comfortable devising and experimenting with novel approaches. Highly productive and enjoys dealing with ambiguity and applying new methodologies. Have a strong attention to detail, data accuracy and quality of output. Self-motivated and possess entrepreneurship, passion and curiosity for understanding and interrogating complex data. Hold a demonstrated ability to work independently, with a disciplined approach and a strong sense of responsibility. Management ability is an asset, demonstrating the potential to excel in technical leadership roles.

Responsibilities

• Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in plant detection, tracking and classifications in various agricultural settings, particularly with deep-learning and machine-learning approaches.
• Synthetic data generation and pipeline management.
• Devise, implement and interpret deep learning and machine learning algorithms to address selected research questions in perceptions and precision agriculture.
• Help shape the direction of deep learning and artificial intelligence within BHF.
• Design computer vision algorithms for a broad range of applications relating to agriculture (real time object detection, object tracking etc.).
• Develop, apply and optimize computer vision models for large-scale and real world applications, ensuring models are efficiently integrated and perform optimally in production.
• Design and conduct tests to validate computer vision models based on agreed metrics.
• Take ownership of the computer vision project from start to finish, which includes building data pipelines, designing, deploying & maintaining production quality CV models in collaboration with other teams.
• Benchmark and refine computer vision and machine learning algorithms, including enhancing data pre-processing and augmentation for better accuracy and efficiency.
• Collaborate with cross-functional teams to define vision system requirements and capabilities.
• Familiarity with foundational model

Qualifications

• MSc/PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
• At least 2+ years of experience as a Computer Vision, deep learning, machine learning engineer/researcher.
• In-depth knowledge and experience in computer vision projects, with a strong emphasis on real-world applications.
• Proven track of record in top academic conferences/publications.
• Experience with successfully completing computer vision projects from scratch to deployment at production level.
• Hands‑on experience with ROS/ROS2 in robotic perception and autonomous systems development.
• Proven expertise in designing and implementing vision systems for robotic applications.
• Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, Random Forest, boosting, XGBM, k‑NN, Naive Bayes, Decision Trees, SVM, etc.
• Good theoretical as well as practical knowledge of deep learning architectures such as LSTM, RNN and CNN and Transformer based models.
• Algorithm and model development experience for large-scale applications.
• Experience running accuracy experiments and systematically improving performance.
• Familiarity with scientific computing libraries such as numpy, pandas, scikit and image processing libraries such as OpenCV and scikit‑image.
• Solid understanding and practical experience of containerizing Deep Learning models for deployment purposes in a scalable manner.
• Experience with SQL and NoSQL databases and ETL tools.
• Willing to perform tasks on farms from time to time.
• Strong cross-team communication and collaboration skills. Comfortable being part of a small team of engineers working in an energetic fast paced start‑up environment and effective as part of a distributed team.
• Proficiency in C++, Python, or other relevant programming languages, with solid skills in object-oriented software development.
• Experience in fine‑tuning diffusion models (LoRA, ControlNet, inpainting) is a plus.
• Experience leading engineering teams is a plus.

Pay range and compensation package

Highly competitive compensations, growth opportunities, and the chance to make a tangible impact in AgTech.

Benefits & Perks

• Extended Health & Dental & Vision Care Plans
• Employee & Family Benefits Program
• Global Travel Assist Plan
• Unparalleled Stock Options Grant + Bonus Plan

Why Join Us

You will lead the field service team for deployment of next-generation autonomous agricultural robotic systems that transform the industry. This role offers extensive exposure to technical management and leadership.