[Hiring] Senior Machine Learning Engineer @Vrify
Mar 26, 2025 - Vrify is hiring a remote Senior Machine Learning Engineer. 💸 Salary: $150,000 - $170,000 cad. 📍Location: Canada.
About us:
VRIFY is positioned at the forefront of the mining industry's transformation, leveraging cutting-edge AI to revolutionize mineral exploration. With a focus on AI drill targeting, VRIFY is expanding its capabilities by synthesizing vast amounts of geological information. This integration enhances the precision and efficiency of exploration strategies, offering our clients innovative solutions that depart from traditional methods.
Our mission extends beyond technological advancement. We are committed to transforming how mining companies engage with investors, aiming to foster a more transparent and accountable mining investment ecosystem. VRIFY's technology enables immersive 3D and 360° presentations that provide investors with a vivid and detailed visual context, making complex geological data accessible and engaging.
As we continue to refine our AI-driven solutions, VRIFY remains dedicated to driving innovation and excellence in the mining sector, ensuring our clients and investors are well-equipped to succeed in a rapidly evolving market.
VRIFY is seeking a Senior Machine Learning Engineer to work under our Lead Machine Learning Engineer on the research, design, and implementation of advanced ML solutions. In this role, you will focus on integrating algorithms and workflows into the AI platform, collaborating closely with the development team to ensure smooth deployment and performance optimization. While your primary responsibilities center on ML engineering, you will also provide secondary support to the MLOps Developer in maintaining and improving our production pipelines.
Your expertise will be key to optimize code, building new AI products, and improving model performance across various geoscientific domains. By contributing to VRIFY’s ML initiatives and supporting the refinement of geodata scientists’ work, you will help drive innovation and efficiency throughout the organization’s AI ecosystem.
Key Responsibilities
- AI Strategy Development - Collaborate with the Director of R&D to shape and implement VRIFY's comprehensive AI strategy for geoscientific applications.
- End-to-End ML Leadership - Oversee all stages of the ML lifecycle, ensuring cohesion from data preparation to model deployment and monitoring.
- Diverse Solution Architecture - Design and implement a wide range of ML solutions, including computer vision, time series analysis, and geospatial data processing systems, advancing VRIFY's capabilities by adopting emerging technologies and techniques.
- MLOps Leadership - Lead the implementation of robust MLOps practices, including CI/CD for ML models, ensuring seamless integration of AI into production systems.
- Infrastructure Optimization - Optimize AI infrastructure and workflows for performance, scalability, data pipeline, and automation throughout the entire machine learning lifecycle.
- Cross-functional Collaboration - Foster collaboration between data engineers, scientists, and geoscientists to create a cohesive, end-to-end ML ecosystem within VRIFY.
- Continuous Improvement - Continuously enhance the reliability, efficiency, and impact of AI systems through ongoing improvement and optimization.
- Geospatial ML - Working knowledge of geospatial databases (e.g., PostGIS, GeoPandas) is highly valued.
Qualifications
Experience:
- 7+ years of experience in machine learning engineering, with a proven track record of delivering ML solutions into production.
Technical Expertise:
- Mastery of Python and advanced proficiency in ML frameworks such as PyTorch, scikit-learn, compiled inference engine such as onnxruntime and openvino, and model deployment.
- Deep understanding of a wide range of ML algorithms, architectures, and their practical applications.
- Experience in handling large datasets, with experience in AWS
- Proficiency in software engineering principles, version control, and CI/CD practices.
- Experience with containerization, orchestration, and microservices architectures.
- Understanding of data privacy, security, and compliance in ML contexts.
Leadership and Soft Skills:
- Proven ability to lead and mentor technical teams in ML projects.
- Excellent problem-solving abilities with a strategic mindset.
- Outstanding communication skills, adept at explaining complex ML concepts to diverse audiences, from technical teams to executive stakeholders.
- Strong project management skills and ability to drive multiple initiatives simultaneously.
- Adaptability and enthusiasm for continuous learning in the rapidly evolving field of ML.
Education:
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field. Relevant industry certifications and contributions to the ML community (e.g., publications, open-source projects) are highly valued.
What We Offer:
- Health Benefits: Extensive coverage, medical, dental, and vision plans.
- Paid Time Off (PTO): Including vacation days, sick/personal care days, public holidays plus extra time during holiday season.
- Work-Life Balance: Flexible work hours, remote work options plus option to use work space in Downtown Vancouver
- Professional Development: Career growth program to help our team advance their career.
- Performance Bonuses
- Wellness Programs: Fitness allowance, work from home allowance, mental health support.
- Retirement Plan (RRSP/DPSP)
Terms of employment:
- Full-time, Permanent, Remote work in Canada.
- Completion of a background check will be required for this position.
- Must be legally entitled to work in Canada
This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.
We strive to create an environment where every employee feels valued, respected, and empowered regardless of their race, gender, age, religion, identity, or experience. We understand that unique perspectives and backgrounds bring invaluable insights and contribute to the richness of our culture and the effectiveness of our solutions.If you have a disability or any special needs that we might need to accommodate, please let us know.
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| 📍 | Be aware of the location restriction for this remote position: Canada |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
💸
$150,000 - $170,000 cad
|
Remote
Location
Canada
|
|
Job Type
full-time
|
Posted
Mar 26, 2025
|
| 📍 | Be aware of the location restriction for this remote position: Canada |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
