... Intern to join our Vancouver team. This is a hands-on research and engineering role for someone ... through controlled experiments. * Analyze trade-offs across model quality, accuracy, latency ...
Quick apply
... Intern to join our Vancouver team. This is a hands-on research and engineering role for someone ... through controlled experiments. * Analyze trade-offs across model quality, accuracy, latency ...
Your Team, Your Impact As an Analog IC Design Intern with Marvell, you'll be a member of the ... As such, applicants must be eligible to access export-controlled information as defined under ...
Your Team, Your Impact As an Analog IC Design Intern with Marvell, you'll be a member of the ... As such, applicants must be eligible to access export-controlled information as defined under ...
Controllership Intern information
What does a controllership intern do?
A Controllership Intern supports the finance and accounting teams within a company by assisting with tasks such as preparing financial reports, reconciling accounts, and helping with audits. They gain hands-on experience in financial analysis, internal controls, and compliance processes. The role offers valuable exposure to the day-to-day operations of the controllership function, preparing interns for future careers in accounting or finance.
What types of projects and responsibilities can a controllership intern expect during their internship?
As a Controllership Intern, you can anticipate working on a mix of financial analysis, account reconciliations, and supporting month-end close processes. Interns are often tasked with preparing journal entries, assisting in internal audits, and helping to ensure compliance with company policies and accounting standards. You'll collaborate closely with accountants and controllers, gaining exposure to various aspects of financial reporting and internal controls. This hands-on experience not only builds your technical skills but also offers valuable insight into the financial operations of the organization.
What are the key skills and qualifications needed to thrive as a controllership intern, and why are they important?
To thrive as a Controllership Intern, you need a solid understanding of accounting principles, financial analysis, and proficiency in Microsoft Excel, often supported by progress toward a degree in accounting or finance. Familiarity with enterprise resource planning (ERP) systems like SAP or Oracle and knowledge of relevant accounting standards (such as GAAP) are commonly required. Strong attention to detail, analytical thinking, and effective communication help interns contribute meaningfully to financial reporting and team projects. These skills ensure accuracy, compliance, and valuable support to the organization's financial management processes.
What job categories do people searching Controllership Intern jobs in British Columbia look for?
The top searched job categories for Controllership Intern jobs in British Columbia are:
What cities in British Columbia are hiring for Controllership Intern jobs?
Cities in British Columbia with the most Controllership Intern job openings:
Full-time, Internship
Posted 4 days ago
Job description
About ProCogia:
We help businesses transform data into real growth!
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We're a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don't just analyse data, we push the boundaries of what's possible, helping clients unlock new value and insights.
When you join ProCogia, you'll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.
If you're ready to unleash your potential and work at the cutting edge of data consulting, we'd love to meet you!
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership
About ProCogia
ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work with clients across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance matter.
Our teams combine data science, engineering, AI, analytics, and consulting expertise to build practical, production-ready solutions. We are actively advancing capabilities across generative AI, large language models, model adaptation, agentic systems, AI governance, and enterprise AI applications.
At ProCogia, interns work alongside experienced practitioners on meaningful technical problems and contribute directly to research and experimentation that informs real-world AI solutions.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership.
Location: Vancouver (On-site)
Job Summary
ProCogia is looking for a curious and technically strong LLM Research Intern to join our Vancouver team. This is a hands-on research and engineering role for someone interested in understanding how large language models can be adapted, evaluated, optimized, and deployed for specialized enterprise use cases. You will work alongside our AI, data science, and engineering teams to experiment with open-weight LLMs, supervised fine-tuning, continued pretraining, parameter-efficient adaptation, model evaluation, RAG, and inference optimization.
Key Responsibilities
- Assess domain-specific datasets and determine the right adaptation approach across fine-tuning, continued pretraining, RAG, or hybrid strategies.
- Establish baseline performance and measure whether model adaptations produce meaningful, defensible improvements.
- Curate, clean, deduplicate, structure, and quality-filter datasets for training and evaluation.
- Fine-tune open-weight LLMs using techniques such as LoRA, QLoRA, PEFT, and multi-adapter approaches.
- Support training and experimentation across single-GPU and distributed multi-GPU environments.
- Design rigorous evaluation frameworks covering factuality, reasoning, grounding, robustness, domain performance, and failure modes.
- Apply public benchmarks and build task-specific evaluation datasets and metrics where standard benchmarks are insufficient.
- Compare models, prompting strategies, retrieval methods, and adaptation techniques through controlled experiments.
- Analyze trade-offs across model quality, accuracy, latency, memory, GPU utilization, token usage, compute requirements, and cost.
- Improve model reliability by evaluating RAG, grounding, reranking, guardrails, hallucination-reduction techniques, and inference optimization.
- Research emerging models, papers, datasets, benchmarks, and techniques, and communicate findings through reproducible experiments, documentation, demos, and presentations.
What You Bring
- Currently enrolled in final year or recently completed a Bachelor's, Master's, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
- Strong programming skills in Python.
- Hands-on experience with machine learning or deep learning through research, coursework, internships, projects, or open-source contributions.
- Solid understanding of transformer architectures, LLMs, and modern NLP concepts.
- Experience or exposure to model training and fine-tuning using tools such as PyTorch and Hugging Face Transformers.
- Understanding of experimental design, benchmarking, model evaluation, and data quality.
- Working knowledge of model size, GPU memory, context length, training compute, inference performance, and cost trade-offs.
- Strong analytical and problem-solving skills with the ability to challenge assumptions and interpret experimental results.
- Ability to read technical research and translate new ideas into practical, testable experiments.
- Strong communication, documentation, curiosity, ownership, professionalism, and ability to learn quickly.
Nice to Have
Experience with any of the following is an asset, but not required:
- LoRA, QLoRA, PEFT, or other parameter-efficient fine-tuning approaches
- Multi-GPU or distributed training using DeepSpeed, FSDP, Accelerate, or similar frameworks
- LLM evaluation frameworks and public benchmarks
- Inference frameworks such as vLLM, TGI, or TensorRT-LLM
- Quantization, pruning, or model compression
- CUDA, GPU optimization, or high-performance computing
- Research publications, technical blogs, open-source contributions, or documented LLM projects
Deadline for Applications: 25th August 2026
Compensation - $23/hour
ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.