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Machine Learning Intern Remote Jobs in Vancouver, BC

Variational AI

Machine Learning Scientist

Vancouver, BC · Remote

... OR REMOTE*) / 2+ YRS PROFESSIONAL EXPERIENCE Small molecule drug discovery is one of the most ... Variational AI is searching for a machine learning scientist to join us in our quest to radically ...

Clio

Manager, Machine Learning Engineering

Vancouver, BC · Remote

CA$226K - CA$272K/yr

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... Remote This role is a backfill for an existing position. What you will find here: Compensation is ...

ALS

Geodata Scientist

Vancouver, BC · Remote

Remote with Canada Lieu : A distance, au Canada About the Position The Geodata Scientist role at ... Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ...

Variational AI

Chemical data scientist

Vancouver, BC · Remote

Salary: $110-$190K CAD VANCOUVER, BC (OR REMOTE IN CANADA) / FULL TIME Variational AI is radically ... machine learning. Traditional approaches to small molecule drug discovery require over ten years ...

Cognitiv

Staff Software Engineer, Big Data

Vancouver, BC · On-site +1

... remote flexibility on Thursday and Friday. Your Impact In this role, success is measured by the ... Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and ...

Cognitiv

Staff Software Engineer, Big Data

Vancouver, BC · On-site +1

... remote flexibility on Thursday and Friday. Your Impact In this role, success is measured by the ... Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and ...

Niricson

Geospatial Technician

Vancouver, BC · Remote

Canada, Remote About Us At Niricson, we believe the world's most critical infrastructure deserves ... Working closely with our Data Collection, Machine Learning, and Product teams, you'll help create ...

Niricson

Geospatial Technician

Vancouver, BC · Remote

Canada, Remote About Us At Niricson, we believe the world's most critical infrastructure deserves ... Working closely with our Data Collection, Machine Learning, and Product teams, you'll help create ...

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Machine Learning Intern Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are popular job titles related to Machine Learning Intern Remote jobs in Vancouver, BC? For Machine Learning Intern Remote jobs in Vancouver, BC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Vancouver, BC look for? The top searched job categories for Machine Learning Intern Remote jobs in Vancouver, BC are:
Machine Learning Intern Remote jobs near you

Machine Learning Scientist

Variational AI

Vancouver, BC • Remote

Full-time

Re-posted 22 days ago

Job description

Salary: $150K-200K Annually Compensation varies by experience, skills and location

VANCOUVER, BC (OR REMOTE*) / 2+ YRS PROFESSIONAL EXPERIENCE


Small molecule drug discovery is one of the most exciting open problems in machine learning. Traditional approaches require over ten years and two billion dollars to develop a new pharmaceutical, and their reliance on trial-and-error calls out for better predictive and generative models. The existent datasets are large enough to benefit from sophisticated deep learning architectures, but small enough that ML models can be trained in a few days, facilitating rapid experimentation and innovation. Nevertheless, the current industry standard has progressed little beyond shallow ML techniques such as random forests and support vector machines, largely due to the difficulty of integrating world-class machine learning research with chemistry and pharmacology expertise.


Variational AI is searching for a machine learning scientist to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. For over six years, we have beenadvancing the state-of-the-art, and delivering projects to customers including Merck, Rakovina Therapeutics, and ImmVue Therapeutics.


You will help design, implement, test, and refine novel elements of a machine learning architecture built from the ground up to optimize the properties of small molecule drugs; continually improve the robustness of our existing code base; and apply our pipeline to new drug targets. Experience developing novel ML algorithms in domains such as diffusion models, Transformers, graph neural networks, uncertainty quantification, and Bayesian optimization is required, but we can provide all necessary background in chemistry, pharmacology, and biology.


Here is the background were looking for:

  • Ph.D. in CS, applied mathematics, statistics, physics, or related discipline;
  • Expertise with machine learning techniques, including diffusion models, Transformers, and Bayesian optimization, demonstrated through first-author publications in conferences like NeurIPS, ICLR, and ICML;
  • Two or more years experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.;
  • Mastery of Python and PyTorch; and
  • Intellectual curiosity and drive to excel.


We are an equal opportunity employer and enthusiastically welcome applications from women, BIPOC, and members of underrepresented communities and groups. Compensation is a competitive mix of cash and options. We prioritize expertise and passion over where you decide to live and work; however, for collaboration across our team, applicants must be based in *North American time zones.


To learn more about us, you can find some of our recent work at variationalai.substack.com