Title: Research Associate Location: Montreal, Canada Job Description: time type Part time job requisition id JR0000075792 If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Hiring Unit: Department of Biology (Professor Neil Price) Position Summary: - Conducts research on phytoplankton trace metal requirements, Cu-Fe interactions, Cu uptake and reduction. - Develops protocols required to assess the impact of Cu on cell physiological state. - Analyzes data and interprets results. - Writes manuscripts and presents the research results at scientific meetings. - Supervises and trains undergraduate researchers working in the lab. Qualifications: - Phytoplankton physiological ecology. - Trace metal chemistry of seawater, thermodynamic and kinetics of Cu chemical reactions, photophysiology, biochemistry, q-PCR. Education/Experience: - PhD in biological oceanography. - Prior research on phytoplankton trace metal interactions. Location: This position is located in Montreal, Quebec and the work for this position is expected to be performed in Quebec. Knowledge of French and English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level # (4) qualifier on a scale of 0-4. Hourly Salary: $33.96 Hours per Week: 30 (Part time) Location: Stewart Biology Bldg Supervisor: Professor Position Start Date: 2026-05-04 This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement. McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify.

Role Description We are looking for a Software Development Engineer in Test to join our team, focused on validating a Java codebase migration. Unlike a traditional QA role, this position requires strong Java development skills. You will: - Design and implement test strategies for the Java 8 to Java 21 migration, covering compatibility, regression, and behavioral validation. - Write and maintain automated test code in Java for API, backend services, and integration layers. - Build, extend, and own our existing Java-based automation framework running in Jenkins. - Set up and maintain CI/CD pipelines using Pipeline-as-Code (Groovy/Jenkinsfile). - Validate functional and non-functional behavior of migrated services, identifying edge cases and compatibility risks. - Perform API, integration, and regression testing across the application stack. - Collaborate with Java Developers to review code changes, assess migration risks, and define test coverage. - Manage and triage defects with clear root cause analysis and technical documentation. - Maintain test documentation, test cases, and validation reports. Qualifications - 2-4 years of Software Development in Test (SDET), test automation engineering, or backend development experience, with at least 1-2 years writing automation in Java. - Strong Core Java (JSE) skills, multithreading, collections, memory management; must write clean, maintainable test code, not just execute scripts. - Solid understanding of Java version differences, including module system changes, deprecated APIs, and runtime behavioral differences. - Hands-on experience building or extending automation frameworks. - Strong experience in API testing and backend validation using RestAssured, Postman, or similar tools. - Hands-on Jenkins experience, writing and maintaining Jenkinsfiles, integrating test suites into deployment pipelines. - Working SQL knowledge, writing and validating queries, understanding schema design, verifying data integrity in relational databases. - Familiarity with test management and defect tracking tools (Jira, TestRail, or similar). - Strong English communication skills (written and spoken) for collaboration with a US-based team. - Ability to work fully remote under US time zones. Requirements - Experience in fintech or high-transaction systems (payments, ledgers, financial data pipelines). - Familiarity with NoSQL databases and RDBMS interaction via application layers. - Experience with performance/load testing tools (JMeter, K6, or similar). - Understanding of logging, monitoring, and observability tools (ELK, Grafana, Datadog, or similar). - Exposure to AI-assisted development tools applied in a testing or coding context. Benefits - Fully remote position (work from anywhere under the US time zones). - Opportunity to learn modern Java practices on a real migration project with senior mentorship. - Collaborative and supportive team environment.

Title: Research Scientist / Engineer – Training Infrastructure Job Description: Full Time Experienced Job Title: Research Scientist / Engineer – Training Infrastructure Position Type: Full time Location: Palo Alto, CA • Remote - US • Remote - International Salary Range: $220,000 - $300, 000 (USD) Job ID#: 154559 Job Description: We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. We are looking for engineers with significant experience solving hard problems in PyTorch, CUDA and distributed systems. You will work alongside the rest of the research team to build & train cutting edge foundation models on thousands of GPUs that are built to scale from the ground up. Responsibilities - Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs - Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel) - Build monitoring, visualization, and debugging tools for large-scale training runs - Optimize training stability, convergence, and resource utilization across massive clusters Requirements: - Extensive experience with distributed PyTorch training and parallelisms in foundation model training - Deep understanding of GPU clusters, networking, and storage systems - Familiarity with communication libraries (NCCL, MPI) and distributed system optimization - (Preferred) Strong Linux systems administration and scripting capabilities - (Preferred) Experience managing training runs across >100 GPUs - (Preferred) Experience with containerization, orchestration, and cloud infrastructure About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/. Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

• Lead adversarial testing of AI by designing, scoping, and executing red team assessments against our AI ecosystem using a risk-based prioritization approach to discover and address vulnerabilities before they can be exploited. • Innovate in AI attack techniques by combining cutting-edge academic research with proven offensive security methods to establish new Tactics, Techniques, and Procedures, and operationalize emerging research to keep assessments aligned with the state of the art. • Build and scale security tooling using an automation-first philosophy, driving initiatives to shift security testing left by sharing purpose-built tools with AI security stakeholders across Engineering, Research, and Ethics. • Serve as a strategic partner across the company, providing an offensive security perspective to guide product development, support corporate governance, and contribute to policies such as Salesforce's Generative AI Security Standard.