Deep Learning Researcher Jobs

Strong programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, ROS).

Excellent problem-solving skills, with the ability to think creatively and propose innovative solutions.

Note:** Only candidates who meet the required qualifications will be contacted for an interview.

Design and implement innovative algorithms and models to address complex challenges in robotic systems.

Collaborate with cross-functional teams to integrate research findings into practical solutions and contribute to product development.

Publish research findings in top-tier conferences and journals to establish thought leadership in the field.

Utilize your 3D point cloud experience for instance segmentation pipeline research, optimization, pose estimation, pose refinement, camera calibration, etc.

Extensive experience in Deep Learning targeted to product development

Extensive Research experience in Deep Learning withTensorFlow orPyTorch

Research & development of advanced product-critical computer vision components such as instance segmentation, point cloud completion & mesh reconstruction

Provide leadership, collaboration, and mentorship to the research and development team within the Computer Vision and Deep Learning group

Support overall research, engineering, and architecture efforts

Craft deepfake videos that align with our creative vision and project requirements.

Document and share insights on the art of deepfaking, contributing to internal knowledge-building.

Background in Digital Media, Film, Art, or related fields, with demonstrable experience in deepfake creation.

Excellent problem-solving and collaborative skills.

Gain hands-on experience in a pioneering AI startup.

Collaborate closely with our AI team, infusing artistic insight into technical processes.

Experience with at least one mainstream Deep Learning framework

Experience building complex and extensible Software

Solid understanding of theory, applications, and limitations of Deep Learning

Practical understanding of Data Structures and Algorithms

5+ years working experience in optimizing deep learning algorithms and/or their applications to NLP/Multimodal/Speech/CV/

Experience with distributed model training (DeepSpeed, Megatron, Colossal-AI, Horovod, etc)

Team leader experience in AI industry is an asset

Excellent written and verbal communication skills for documentation and presentation

Lead a team in research of algorithms on accelerating the training of the market-driven AI models, reaching/exceeding the state-of-the-art performance

Plan project and technology roadmap

Collaborate, coach, and learn with a growing team of experienced Data Scientists

Hands-on experience building models is a must

Experience with supply chain/retail forecasting is a must

Exceptional communication and collaboration skills to understand business partner needs and deliver solutions

Effectively communicate the analytics approach and how it will meet and address objectives to business partners

Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions

Experience with Large-scale training, evaluation, and deployment designs and procedures

Keeping up-to-date on selected areas of ML (such as graph representation learning, dynamic and knowledge graphs, and deep learning)

Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents

Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports

Contribute to the design, implementation, test, and maintenance of research and development frameworks

Collaborate with researchers and developers across teams and projects

2+ years of professional experience in using SQL and data management.

4+ years of experience in programming with Python.

3+ experience in using Natural Language Processing (NLP), particularly pre-processing, embedding, and applying ML algorithms on unstructured textual data.

3+ years of professional experience working with languages and frameworks typically used in machine learning (e.g., Pytorch, scikit-learn, NLTK).

3+ years of professional experience in software development best practices (e.g. version control, testing, documentation).

3+ years of professional experience in developing machine learning models using the Cloud computing platforms (e.g., AWS, GCP)

Hands-on experience and excellent knowledge with at least one deep learning architecture (Transformers, GNN, CNN, GAN, LSTM, VAE, ...)

Experience in applying deep learning models to computer vision or natural language processing tasks

Experience in Deep learning frameworks such as PyTorch and TensorFlow

Excellent communication skills, self-motivated, with creative thinking and attention to details

Experience in applying deep learning demonstrated through work experience, internships, or projects

Experience in Bayesian Optimization, Reinforcement Learning, or evolutionary algorithms

3+ years of non-internship professional software development experience

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Experience programming with at least one software programming language

Bachelor's degree in computer science or equivalent

Experience with HPC and cloud computing; hands-on experience with schedulers is a plus.

Strong communication skills (written and verbal), motivation for international collaboration

Leverage the deep research work and findings to develop and program integrated software algorithms to structure.

Analyze and leverage research data in product and systems applications in both structured and unstructured environments.

Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.

PhD in Computer Science or related discipline is required.

Demonstrated experience of HCI and/or Ubiquitous Computing research fundamentals, including experience designing and evaluating novel technologies

Excellent written and oral communication skills

Understand product demands and industry technology trends to define research directions

Perform interaction design, core algorithm development, prototype development, user experimentation and collaborate with product teams to implement research findings into products

Generate intellectual property such as patents and trade secrets based on research outcomes

Publish papers in peer-reviewed scientific journals/conferences

• 5+ years of experience as a Data Scientist

• 2+ years of experience in Deep Learning (PyTorch or TensorFlow)

• Experience in Artificial Intelligence and/or Big Data projects

• Experience with GCP – Google Cloud Platform (Big Query, Kubernetes, Vertex AI)

• Knowledge in the pharmaceutical and/or medical field (asset)

• Analyser un très haut niveau de données et les transformer

Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents

Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports

Contribute to the design, implementation, test, and maintenance of research and development frameworks

Collaborate with researchers and developers across teams and projects

Previous internship experiences with C++ and Python development.

Experience with applying machine learning or computer vision to real-world problems.

Experience with TensorFlow, Pytorch, or other deep learning frameworks.

Experience with Android development and familiar with JNI is an asset.

Research and develop state-of-the-art technology in computer vision and machine learning.

Work with various types of videos and image analysis using cutting-edge deep learning and computer vision techniques.

Manages all manpower, materials, and equipment as per the projected execution plan including the coordination of field construction staff.

15+ years of related experience overseeing the successful execution of deep foundations projects in the field.

Experience working with sub-contractors, and driving safety compliance on major projects.

Possess some knowledge of estimating.

Technical trades certification; or certificate in a relevant discipline.

Michels Canada does not require payment from anyone seeking employment at any time during the recruitment and/or selection process.

Experience with exposing deep learning services via APIs and utilizing Docker containers for deployment and management

Competitive salary and benefits package

Implement and integrate language models with external knowledge systems, such as ChatGPT plugins or LLM with retrieval systems like RETRO

Detailed knowledge of language models, with particular emphasis on Transformers architecture and its auto-regressive and non-regressive variants

Proficiency in Python and PyTorch, with experience in TensorFlow and JAX as needed

Strong understanding of concepts such as knowledge distillation, quantization, pruning, and multi-task learning