Jobs in Canada

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Added 1 day ago
R
Game Developer
ReBlink
Toronto, ON
- Full-time
- On-site
…work from first principles, and are proactive with your self-learning. You come with answers to problems that you've already prioritized and began to…
Added 1 day ago
Manager Flexible Learning
Saskatchewan Institute Of Applied Science And Technology
SK
The Manager, Flexible Learning is part of the Centre for Continuing Education, and their role is to guide and lead exceptional staff in their commitment to our students and shared strategic…
Added 1 day ago
SS
Senior Software Engineer
Solid State AI
Toronto, ON
- Full-time
- Hybrid
Our product has been developed by physicists and engineers with decades of experience in designing and manufacturing semiconductor devices, software engineers and machine learning…
Added 1 day ago
SS
Senior ML Engineer
Solid State AI
Toronto, ON
- $120,000 to $160,000 CAD / year
- Full-time
- Hybrid
Minimum of 8 years of proven experience in machine learning, particularly with tree-based algorithms and neural networks such as: FNN, Autoenconders, Attention Mechanism and Transformers,…
Added 1 day ago
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Contract Fractional CTO
NuBinary
Toronto, ON
- $125 to $175 CAD / hour
- Full-time
- Hybrid
…in areas such as IoT, Smart Connected Devices, AI, Machine Learning, MedTech, Smart Manufacturing, Home Automation, and…
Added 1 day ago
HC
Custodian - Casual
Huron-Perth Catholic District School Board
Listowel, ON
- $25.29 CAD / hour
- Contract
Previous custodial and/or cleaning experience is required;
Added 1 day ago
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focuses programs on the unique needs of individual clients practicing experiential learning to provide opportunities for personal discovery and growth.
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focuses programs on the unique needs of individual clients practicing experiential learning to provide opportunities for personal discovery and growth.
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…frameworks, and evaluation processes, while supporting a positive learning environment for students and…
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Production Operator
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Career development, continuous learning, and growth opportunities
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Facilitate the customer experience from start to finish

Solid State AI

Senior ML Engineer

Toronto, ON, Canada

Hybrid

$120,000 to $160,000 CAD / year · Full-time

Apply on app.dover.com About employer

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Job details

Pay: $120,000 to $160,000 CAD / year
Job type: Full-time
Workplace: Hybrid
Posting language: English

Original job description

Solid State AI is on a mission to infuse creativity and scientific rigor into the design, development and deployment of AI software products. Our objective is to create a software that is not only user-friendly and intuitive but also adds significant value to our manufacturing customers.

Our clients are builders of products you use every day and our solution empowers them to increase production while reducing cost. At the heart of our offering is AIMS - AI for Manufacturing Systems.

We are in search for a team member who not only understands the established principles of machine learning principles & practices and data science but is also prepared to challenge the norms. This mindset is crucial because the types of problems we are addressing requires creative thinking which leads to innovative solutions

Job Description:

We are looking for a passionate and skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in developing and implementing supervised and unsupervised machine learning models. Examples of applications for these models are in anomaly detection, classification and regression tasks. You should be well-versed with packages such as Scikit learn, PyTorch, Dask, Ray and Optuna. You will be involved in the entire model development lifecycle, from data preprocessing to model deployment.

Key Responsibilities:

Design and implement supervised and unsupervised machine learning models especially in scenarios of big, small and sparse data
Identify and recommend the optimal machine learning approach tailored to the specific characteristic of the data, including volume and veracity, and aligned with the intended use case of the model
Work with frameworks such as Dask, Optuna, and Ray to enhance model performance and scalability
Collaborate with cross-functional teams to understand business requirements and provide ML solutions
Conduct data analysis and preprocessing to prepare datasets for model training
Optimize models for performance and accuracy
Stay up-to-date with the latest developments in machine learning and apply them to solve real-world problems

Qualifications:

Master’s /PhD degree in Computer Science, Statistics, Physics or a related field
Expert in the foundations of tree-based and neural network algorithms
Minimum of 8 years of proven experience in machine learning, particularly with tree-based algorithms and neural networks such as: FNN, Autoenconders, Attention Mechanism and Transformers, RNN, GNN
Expert in building custom loss functions
Proficiency in PyTorch and experience with frameworks like Dask, Optuna, and Ray.
Strong programming skills in Python
Excellent understanding of data structures, algorithms, and software engineering principles
Experience with big data technologies and cloud platforms is a plus
Strong problem-solving skills and ability to work in a fast-paced environment
Strong communication skills to effectively convey complex concepts
Ability to work collaboratively in a team environment
Excellent analytical and problem-solving skills
Bonus: Experience in manufacturing environment (Aerospace, Automotive, Semiconductor, Pharma or Chemical)

Apply on app.dover.com About employer

More about this job

Responsibilities

The Senior ML Engineer at Solid State AI will design and deploy machine learning models for manufacturing data, including big, small and sparse datasets. They will prepare data, tune and scale models, and work with cross-functional teams to turn business needs into ML solutions.

Requirements

Candidates need a Master's or PhD in a related field and 8+ years of hands-on machine learning experience. Expertise in tree-based and neural network algorithms, custom loss functions, PyTorch and Python is required.

Skills

Python
PyTorch
scikit-learn
Dask
Ray
Optuna
tree-based algorithms
neural networks
FNN
autoencoders
attention mechanism
transformers
RNN
GNN
custom loss function design
supervised learning
unsupervised learning
anomaly detection
classification
regression
data preprocessing
model optimization
big data technologies
cloud platforms
data structures and algorithms

Keywords

machine learning
deep learning
PyTorch
scikit-learn
Dask
Ray
Optuna
Python
neural networks
transformers
anomaly detection
classification
regression
manufacturing AI
data science
MLOps
model deployment
big data
cloud platforms
custom loss functions

Seniority

Senior

Tools

PyTorch
Dask
Ray
Optuna

Languages

English

Fields of study

Computer Science
Statistics
Physics

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Jobs in Canada