Is on LinkedIn?
🕒 May 25
Senior NLP/LLM Engineer exploring and analyzing LLM capabilities while collaborating with cross-functional teams at Social Discovery Group. Enhancing AI models' effectiveness and optimizing their performance.
🕒 March 20
Job not on LinkedIn
Machine Learning Engineer specializing in large language models for John Snow Labs. Working on AI model training and optimization for healthcare applications in a fully remote setting.
C++
PyTorch
🕒 February 6
Job not on LinkedIn
Contract role for a Generative AI Engineer focusing on machine translation and AI solutions at Workiy. Collaborate with teams to design and implement advanced translation and localization systems.
The average salary for remote llm engineers in Canada is CA$43,500 per year. This is based on data from 9 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟡 Mid-level LLM Engineer (2-4 yrs) | 4 | CA$0 |
🟠 Senior LLM Engineer (5-9 yrs) | 2 | CA$195,750 |
🔴 Lead LLM Engineer (10+ yrs) | 3 | CA$0 |
We analyzed 6 job listings in the last year and found it takes about 46 days for employers to close a job opening.
We reviewed 9 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in languages like Python, proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), expertise in natural language processing (NLP), and a good understanding of algorithms and data structures. Problem-solving, analytical thinking, and collaboration skills are also essential for remote work.
Typically, a degree in computer science, data science, or a related field is required. Experience in machine learning or data engineering, along with a solid portfolio of projects, is often more important. Certifications in NLP or relevant technologies can be advantageous.
Responsibilities include developing and fine-tuning large language models, conducting experiments to improve model performance, analyzing and preprocessing data, collaborating with cross-functional teams, and documenting methodologies and findings. You'll also need to stay updated on advancements in machine learning and NLP.
Benefits include flexible working hours, the ability to work from any location, reduced commuting time and expenses, and improved work-life balance. Remote work also fosters global collaboration and access to diverse projects and teams.
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
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