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Bioinformatics Machine Learning Internship Jobs in Toronto, ON

Sanofi EU

Lead Data Scientist

Maple, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Mississauga, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Brampton, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Support the development and testing of machine learning and predictive analytics solutions ... Internship, co-op, research, or project experience in data science, analytics, or relevant field

Sanofi EU

Lead Data Scientist

Toronto, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Unionville, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Work with LLM APIs, machine learning models, and automation pipelines to support intelligent ... Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

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Bioinformatics Machine Learning Internship information

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What are the key skills and qualifications needed to thrive as a bioinformatics machine learning intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Toronto, ON?

For Bioinformatics Machine Learning Internship jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Toronto, ON look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Toronto, ON are:

Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

PhD Intern - AI Researcher for CAD (B-Rep) Generation

Autodesk

Toronto, ON • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 247 rated software companies

Job description

Job Requisition ID #

25WD92254

Position Overview

The intern will join our team of scientists at the Autodesk AI Lab, working at the intersection of generative AI and computer-aided design (CAD). They will help investigate how large language and vision models (V/LLMs) can be adapted to understand and generate CAD objects and assemblies represented in boundary-representation (B-Rep) formats, with an emphasis on producing parametric, editable, and manufacturable designs. Reporting to a Senior Principal AI Scientist, the intern will work on finetuning LLMs for very long-context sequences and exploring techniques such as external memory, retrieval-augmented generation (RAG), and tool calling. A key focus will be enabling models to produce high-quality outputs that rely on accurate internal "references," and cross-linked identifiers within CAD structures.

Responsibilities

  • Finetune LLMs such as Qwen 3, gpt-oss to generate CAD shapes

  • Develop techniques based on RAG and external memory to handle long contexts of over 30,000 tokens that may contain CAD models that have been previously generated or exist in catalogues

  • Evaluate model outputs using standard metrics for CAD shapes including validity of the B-Reps, and prompt following

  • Document research findings, present internally to stakeholders and publish if new discoveries are made

Minimum Qualifications

  • Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

  • Strong understanding and hands-on experience with deep learning and LLMs, particularly, experience in finetuning large frontier models, tool calling, and RAG

  • Strong Python coding skills and collaborative development using Git

  • Familiarity with 3D topological data structures such as the half-edge data structure meshes and B-Reps, geometry processing, and CAD frameworks such as OpenCascade is a strong advantage

About the Canada Intern Program

The 2026 Canada Internship program runs for 16 weeks (May 4th - August 21st). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk's Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.


Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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