Senior Algorithm Developer

As a Senior Computer Vision / ML Engineer, you will develop and implement
computer vision and machine learning algorithms that operate on large-scale real-world
video data.
The role combines algorithm development and software engineering, with approximately
equal focus on building high-performing models and turning them into robust,
production-quality solutions.
You will work independently, take ownership of your tasks and outcomes, and collaborate
closely with other R&D teams to integrate your algorithms into FarmSee%27s production
systems.
What You%27ll Do
● Develop and implement computer vision and deep learning algorithms for detection,
segmentation, tracking, and re-identification.
● Research, prototype, evaluate, and improve machine learning approaches using
real-world datasets.
● Develop high-quality Python code for both algorithmic development and production
environments.
● Design experiments, evaluate model performance, analyze failures, and continuously
improve algorithm accuracy and robustness.
● Define and support data collection and annotation processes required for model
development and validation.
● Optimize models and inference pipelines for performance and scalability.
● Collaborate with backend, infrastructure, QA, and other R&D teams to integrate
algorithms into production systems.
● Use modern AI-assisted development tools such as Codex, Claude Code, Cursor, or
equivalent as an integral part of day-to-day development, debugging, testing, and
code improvement.
● Stay current with relevant developments in computer vision, deep learning, and
AI-assisted software development.
Requirements
● Bachelor%27s degree in Computer Science, Electrical Engineering, or a related technical
field.
● At least 5 years of hands-on professional experience in Computer Vision, Machine
Learning, and Deep Learning.
● Strong practical experience with image segmentation, multi-object tracking, and
visual re-identification %28metric learning%29, as well as ML for tabular data.
● Strong understanding of classical image processing and computer vision techniques.
● Strong Python programming skills.
● Strong experience with PyTorch or other major deep learning frameworks.
● Solid understanding of batching, caching, numerical precision, and memory
optimization for model deployment.
● Ability to write clean, maintainable, production-quality Python code.
● Strong understanding of object-oriented programming, software design principles,
design patterns, testing, and software development best practices.
● Proven ability to work independently with minimal supervision and take full ownership
of assigned tasks and outcomes.
● Practical experience using modern AI coding tools such as Codex, Claude Code,
Cursor, or equivalent.
● Strong analytical and problem-solving skills.
● Good communication and collaboration skills.
Advantage
● Experience optimizing deep learning models for inference.
● Experience with TensorRT.
● Experience with NVIDIA Triton Inference Server.
● Experience profiling and optimizing GPU-based workloads.