Senior Machine Learning Engineer

ZipRecruiter; Vancouver; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading company specializing in synthetic data is seeking a Senior Machine Learning Engineer to join their innovative team. In this role, you will design algorithms and data pipelines to advance autonomous technologies, working closely with experts from various sectors. Ideal candidates will have a strong background in machine learning and computer vision, along with excellent collaboration and communication skills.

Qualifications

• Hands-on experience developing machine learning solutions for computer vision applications.
• Strong programming skills with an emphasis on clean, maintainable code.
• Proficient in machine learning frameworks like PyTorch or TensorFlow.

Responsibilities

• Generate and curate datasets for experimental purposes.
• Implement and refine state-of-the-art models and processing pipelines.
• Develop tools for evaluating the impact of synthetic data on training models.

Skills

Python

Machine Learning

Computer Vision

Collaboration

Communication

Education

Master’s degree or PhD in Computer Science or Machine Learning

Tools

PyTorch

TensorFlow

Job description

Job Description

Senior Machine Learning Engineer

We are an innovative company specialising in synthetic data , helping organisations develop autonomous technologies such as self-driving vehicles and delivery drones. Our platform offers a new approach to generating sensor data for artificial intelligence training. We are looking for a Senior Machine Learning Engineer to join our team and advance the future of AI and synthetic data.

Role Summary:

• Join a research-focused team dedicated to developing best practices for using synthetic data in perception systems.
• Design and implement perception algorithms, data pipelines, analysis tools, and domain adaptation methods.
• Communicate findings to guide internal decision-making and support customers' AI development strategies.
• Work closely with experienced professionals from sectors such as gaming, film, and automotive technology.

Key Responsibilities:

• Generate and curate datasets for experimental purposes.
• Implement and refine state-of-the-art models and processing pipelines.
• Maintain and enhance codebases to support rapid iteration.
• Develop tools for evaluating the impact of synthetic data on training models.
• Share research insights internally and with external partners.
• Provide technical support and advice to customers.
• Keep up to date with the latest research and industry trends in synthetic data and computer vision.

About You:

• Curious, proactive, and keen to learn.
• Strong collaborator with clear communication skills.
• Comfortable navigating uncertain or evolving environments.
• Hold a Master’s degree or PhD in Computer Science, Machine Learning, or a related discipline.
• Hands-on experience developing machine learning solutions for computer vision applications, in either an academic or industrial setting.
• Strong Python programming skills with an emphasis on clean, maintainable code.
• Proficient in PyTorch or TensorFlow.
• Fluent in English, both written and spoken.

Desirable Experience:

• Working on perception systems for autonomous vehicles.
• Applying domain adaptation techniques or creating custom methods for assessing domain gaps.
• Experience working in early-stage or rapidly growing technology companies.
• Familiarity with workflow orchestration tools like Argo, Kubeflow, Airflow, or Ray.