Applied Machine Learning Research Scientist Jobs

Academic or work experience in running Machine Learning experiments

Strong analytical and conceptual problem-solving skills

Excellent oral and written communication skills

An annual leave policy offering 22 days of holiday upon hiring;

A comprehensive group insurance program (health, dental, disability, life, health care account, travel insurance and extended benefits);

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Knowledge of SQL or similar database management systems.

Knowledge of advanced data techniques, including data modeling, data access, data integration, data visualization, databases, database design, and data management.

Strong knowledge and experience in Machine Learning, Data Science, and Generative AI.

Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

3-5 years of industry experience as a Data Scientist or Machine Learning Engineer.

Experience with cloud platforms such as AWS, Google Cloud, or Azure.

Strong problem-solving skills and the ability to apply innovative thinking to overcome challenges in computer vision research.

Excellent communication skills with the ability to effectively present complex concepts to both technical and non-technical stakeholders.

Competitive salary and benefits package, including healthcare, retirement plans, and more.

Develop and implement advanced algorithms and models to solve complex problems in computer vision.

Collaborate closely with cross-functional teams to translate research findings into practical solutions and drive their implementation.

Mentor and guide junior researchers, providing technical leadership and fostering a collaborative research environment.

An equivalent combination of education and experience may be considered.

Attends meetings with the faculty-researcher and stakeholders

Performs routine data gathering activities as directed by supervisor or other research team members.

Gathers literature or other resources as directed by supervisor

Provides assistance to the research team, for example, records notes, describes observations, supplies reminders.

Performs other related project duties as assigned.

Demonstrated skills with Python or R. Experience with libraries like SpaCy, nltk, wordnet, Gensim. (Ideally have a GitHub space to share)

You will be furthering global knowledge on the subject of collaboration through co-authored research papers, conference talks, and content creation.

You will develop algorithms to automate ETL requirements for NLP modelling. 

4+ years of experience working in various aspects of NLP data science.

Experience with 3rd party APIs like Reddit, Twitter, etc.

A Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.

Strong expertise in machine learning (MSc, PhD, post-doc in the field, or equivalent work experience).

Excellent oral and written communication skills.

Industry experience in machine learning.

Industry experience in fields of application of machine learning.

A holiday policy offering 22 days of holiday upon hiring.

A comprehensive group insurance program (health, dental, disability, life, health care account, travel insurance and extended benefits).

Good programming skills and experience with deep learning frameworks

Experience in theoretical and empirical research and for addressing research problems

Proven experience in designing and implementing deep learning algorithms

Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments

Suggest and engage in team collaborations to meet ambitious research goals and improve our products

MSc/PhD in Computer Science, Machine Learning, Mathematics, or other relevant technical fields

Deliver: You will be accountable for timely, well-managed deliverables.

PhD in a relevant discipline or Master’s plus a comparable level of experience

At least one year industry experience building IR/NLP/ML systems

Solid software engineering skills for prototyping

Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

Diverse experience in problem spaces

To be considered for Senior Manager/Associate Director: 3+ years in a direct management role and experience managing multiple teams.

Experience designing, executing, and delivering applied deep learning projects, especially in biology or medicine.

Experience scoping and resourcing projects for teams. Experience balancing timelines, and managing collaborator expectations.

Curiosity and the professional skill set to excel in an open, highly collaborative, and growth-oriented environment.

Guide Recursion’s strategy for computer vision to optimally extract biological relationships from our cellular imaging platform.

Deliver excellence in strategy, implementation, and application of computer vision technologies to accelerate Recursion’s drug discovery efforts and asset pipeline.

PhD in Computer Science or related quantitative field or the equivalent practical experience.

2+ years of hands-on experience applying modern machine learning methods to solve real-world problems.

Extensive experience using modern technologies to accelerate machine learning (e.g. PyTorch, TensorFlow/Keras, Horovod, etc)

Curiosity and the professional skill-set to excel in an open, highly collaborative environment.

Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results to cross-functional stakeholders.

Your work will change lives. Including your own.

*This role is fully remote for anyone working from British Columbia or Alberta.*

Location: Canada, Remote, PT/MT Zones

Who We Are Looking For

Please send your current resume to [email protected] or apply on LinkedIn

**Please include if you require any reasonable accommodations for any part of the application process.

Strong programming skills in Python or a similar language

Knowledge of reinforcement learning is required

Research experience in reinforcement learning, demonstrated through publications in top-tier conferences such as NeurIPS, ICML, or ICLR

Experience with personalization or marketing applications

Knowledge of other advanced machine learning techniques

Previous experience in model deployment for a production setting

We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family

3+ years of industry experience in machine learning or related field

Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning

Experience with label noise mitigation techniques, such as co-teaching or mentor-guided learning

Experience with diffusion denoising techniques

Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow

This opportunity has the option to be fully remote in all locations across Canada.

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A Bachelor’s Degree or an equivalent work experience is required.

Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.).

Experience with predictive modeling/machine learning, forecasting, or causal inference.

The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value.

Minimum of 2 years’ experience with at least one of the following tools: Tensorflow, Pytorch, Theano, or a similar toolkit.

Published papers demonstrating your experience in your research field.

Experience and interest in reinforcement learning and/or deep learning.

Faire progresser les technologies de pointe en matière de compréhension et de gestion des incidences de l’IA;

Faire un compte rendu de vos conclusions dans des publications de recherche;

Travailler avec des collaborateurs internes et externes;

Should have 10 + years of experience in providing end to end solution in Data and Analytics

Minimum 5+ years of experience in cloud service such as Azure/AWS/GCP

Minimum 4+ years of experience in Advanced Analytics - Technology Strategy, Analytics Operating Model and Machine Learning Operations

Experience in integrating ML process across the various toolsets (Domino Data labs, CI/CD pipelines, CloudBees etc.)

Experience in AI/ML operations and automation of various proceses as part of the MDLC

Experience leading and delivering AI/ML operating model and modern analytics technology stack