Machine Learning Engineer
Toronto, ON · Remote
Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...
Machine Learning Engineer
Toronto, ON · Remote
Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize ...
As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.
As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.
Machine Learning Engineer
Toronto, ON · On-site
CA$120K - CA$250K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...
Machine Learning Engineer
Toronto, ON · On-site
CA$120K - CA$250K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Architect scalable machine learning and ...
Machine Learning Engineer
Mississauga, ON · On-site
CA$85K - CA$135K/yr
Machine Learning Engineer About Themis Intelligence Themis Intelligence builds the Utility Knowledge Base (UKB) and Human-Guided Intelligence (HGI) platforms, redefining how utilities operate. Our ...
Quick apply
Machine Learning Engineer
Mississauga, ON · On-site
CA$85K - CA$135K/yr
Machine Learning Engineer About Themis Intelligence Themis Intelligence builds the Utility Knowledge Base (UKB) and Human-Guided Intelligence (HGI) platforms, redefining how utilities operate. Our ...
Machine Learning Engineer
Toronto, ON · Hybrid
CA$129K - CA$174K/yr
We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to ...
Machine Learning Engineer
Toronto, ON · Hybrid
CA$129K - CA$174K/yr
We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to ...
Machine Learning Engineer
Toronto, ON · On-site
$100 - $130/hr
Apply machine learning design patterns to build modular, reusable, and production-ready models. * Collaborate with data engineers to develop high-performance data pipelines for training and inference.
Machine Learning Engineer
Toronto, ON · On-site
$100 - $130/hr
Apply machine learning design patterns to build modular, reusable, and production-ready models. * Collaborate with data engineers to develop high-performance data pipelines for training and inference.
Machine Learning Engineer
Toronto, ON · On-site
$120 - $154/hr
As a Machine Learning Engineer on the GenAI team, you will lead the development of data science products that drive operational efficiency and customer satisfaction. Leveraging the wealth of ...
Machine Learning Engineer
Toronto, ON · On-site
$120 - $154/hr
As a Machine Learning Engineer on the GenAI team, you will lead the development of data science products that drive operational efficiency and customer satisfaction. Leveraging the wealth of ...
As a Senior Machine Learning Engineer , you will: * Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business ...
As a Senior Machine Learning Engineer , you will: * Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business ...
We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...
We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...
Senior Machine Learning Engineer
Oakville, ON · On-site
CA$84K - CA$128K/yr
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...
Senior Machine Learning Engineer
Oakville, ON · On-site
CA$84K - CA$128K/yr
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...
Senior Machine Learning Engineer
Toronto, ON · On-site
CA$84K - CA$128K/yr
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...
Senior Machine Learning Engineer
Toronto, ON · On-site
CA$84K - CA$128K/yr
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ...
We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, you will be responsible for: * Providing solutions for the deployment, execution ...
We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, you will be responsible for: * Providing solutions for the deployment, execution ...
We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, you will be responsible for: * Providing solutions for the deployment, execution ...
Quick apply
We are looking for a motivated and passionate Machine Learning Engineers for our team. As part of this job, you will be responsible for: * Providing solutions for the deployment, execution ...
Lead Machine Learning Engineer
Toronto, ON · Remote
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
Quick apply
Lead Machine Learning Engineer
Toronto, ON · Remote
$225K - $260K/yr
Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just ...
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just ...
As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML ...
As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of ...
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of ...
Machine Learning Petroleum Engineer information
How does a machine learning petroleum engineer typically collaborate with geoscientists and drilling teams to optimize oil and gas production?
A Machine Learning Petroleum Engineer works closely with geoscientists and drilling teams by integrating data-driven models into exploration and production workflows. They analyze geological, seismic, and operational data to develop predictive algorithms that identify optimal drilling locations, forecast reservoir performance, and improve recovery rates. Regular collaboration involves translating complex data insights into actionable recommendations that guide drilling strategies and inform real-time decisions, ensuring all teams are aligned to maximize efficiency and safety. This multidisciplinary approach fosters continuous learning and innovation across teams.
What is the difference between Machine Learning Petroleum Engineer vs Reservoir Engineer?
| Aspect | Machine Learning Petroleum Engineer | Reservoir Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Petroleum Engineering, Data Science, or related fields; knowledge of machine learning | Bachelor's/Master's in Petroleum Engineering or Geosciences; strong understanding of reservoir simulation |
| Work Environment | Data analysis, modeling, software development in oil & gas companies | Reservoir modeling, field development planning in oil & gas operations |
| Industry Usage | Applying machine learning to optimize extraction, predict reservoir behavior | Estimating reservoir properties, managing production strategies |
The Machine Learning Petroleum Engineer focuses on integrating data science and machine learning techniques to optimize oil extraction processes, while the Reservoir Engineer specializes in modeling and managing subsurface reservoirs to maximize recovery. Both roles are vital in the oil & gas industry but differ in their core skills and daily tasks.
What is a machine learning petroleum engineer?
A Machine Learning Petroleum Engineer is a specialist who combines expertise in petroleum engineering with machine learning and data science techniques. They use advanced algorithms and data analytics to optimize oil and gas exploration, drilling, production, and reservoir management. Their work helps improve decision-making, reduce operational costs, and increase efficiency by analyzing large datasets from various sources such as sensors, seismic data, and production logs. These professionals often work closely with geoscientists, data engineers, and other stakeholders in the energy sector.
What are the key skills and qualifications needed to thrive as a machine learning petroleum engineer?
To thrive as a Machine Learning Petroleum Engineer, you need a strong background in petroleum engineering, programming (such as Python or R), and applied machine learning, usually supported by a relevant engineering degree. Familiarity with data analysis platforms, machine learning frameworks (like TensorFlow or Scikit-learn), and petroleum industry software (such as Petrel or Eclipse) is essential. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for integrating technical insights with business goals. These competencies enable the effective application of data-driven solutions to optimize exploration, production, and operational efficiency in the energy sector.
What are popular job titles related to Machine Learning Petroleum Engineer jobs in Toronto, ON? For Machine Learning Petroleum Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Petroleum Engineer jobs in Toronto, ON look for? The top searched job categories for Machine Learning Petroleum Engineer jobs in Toronto, ON are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 19 days ago
Job description
Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
- Design, implement, and deploy machine learning algorithms.
- Manage machine learning algorithm lifecycle.
- Coordinate data collection and annotation efforts.
- Work with real-time data and content coming from various data sources.
- Manage machine learning data pipelines.
- Design tests for machine learning algorithm effectiveness and performance monitoring.
- Design tools and interfaces for interactive machine learning and teaching.
- Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
- Graduate degree in Computer Science with a strong background in machine learning required.
- Strong problem-solving abilities, solid background in algorithms and data structures required.
- Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
- Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
- Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
- Experience with building and deploying API's with Docker and Kubernetes required.
- Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
- Experience with Elastic Search, Lucene a plus but not required.
- Experience with ranking algorithms a plus but not required.
- Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.