Machine Learning Engineer - Toronto, GTA, Hybrid Job at Metaverse Mind Lab Inc

Metaverse Mind Lab Inc Toronto, ON

There have been moments in technology that have fundamentally changed and impacted how we interact with the world, businesses, and the people around us. Think about it—smart phones, social media, e-commerce, and the internet revolutionized civilization. We are at the frontier of another such moment now and invite you to take part in the next revolution.


MVML is a venture-creation studio capitalizing on leading-edge technology innovations. Leveraging our unique network, we work with major enterprise companies to automate complex business processes using generative AI and large language models. We validate these solutions against the market to spin out / stand up new early-stage software companies to productize and bring these ideas to market while providing a strong seed funding round and operational support.


The Opportunity:

This is an opportunity to use your Machine Learning and Generative AI experience and rapidly develop new and innovative product solutions with leading edge technology. We target solving business challenges the world could not solve this time last year, because the technology has evolved so quickly. You will be part of our operating company, focused on developing a core foundation of tools and building MVP candidates to validate product ideas so we can transform these ideas into new business ventures. You will have the opportunity to research and develop ground-breaking solutions to open problems working alongside a skilled team of Machine Learning Engineers and Software Developers.


What’s in it for you:

  • Emerging Technology. This is an opportunity to take your drive and determination to work in emerging technology and build something completely new, from the start. There’s no map, we pave the way.
  • Foundational Team. We productize the solutions we build and spin-out software start-ups while providing seed funding and operational support. If you have ever wanted to work at the foundational level of getting a company off the ground, this is your chance with reduced risks and barriers to entry.
  • Show Immediate Impact. Your work will be in the hands of customers within weeks.
  • Ground-Breaking and Meaningful. We are at the start of an incredible journey. Come join us.

Our new Machine Learning Engineers will:

  • Build. Build. Build. And Fast. Research and implement suitable algorithms for a range of tasks to build advanced dialogue systems for domain-specific question answering.
  • Research. Help guide the research path for solving audacious, open problems.
  • Take it to Production. Work with the broader engineering team to productize and deploy AI models into early production environments to prove feasibility and add value to each customer’s business.
  • Be in the Know. Remain up to date with the latest developments in generative AI.


Our new Machine Learning Engineer has:

  • Start-up DNA. The desire and ability to work in a fast-paced, pre-product market-fit software company, where you can evolve and iterate quickly and effectively.
  • Education or Know-How. A degree in Computer Science, Mathematics, or similar field.
  • The Build Experience. You bring 3+ years of hands-on machine learning experience developing high-quality, production-ready AI solutions.
  • Deep Learning Expertise. Proficiency with Python, most notably experience with deep learning frameworks and libraries such as PyTorch.
  • A Diversified Stack. Professional experience with technical tools and software spanning the entire technology stack for software applications, such as those listed below:

    Containers: Docker
    Container Orchestration: Kubernetes, AWS ECS, etc.
    Distributed ML & Orchestration: Ray
    CI/CD Pipelines: GitHub Actions / GitLab Pipelines
    Infrastructure as Code: Terraform, Pulumi, Ansible, etc.
    Database: NoSQL, MongoDB, AWS S3, RDS, Postgres, Vector DBs
    Logging: Redis, Fluentd, etc.
    Experiment Tracking: MLFlow, Weights and Biases
    Monitoring: AWS CloudWatch, Prometheus, etc.


We are currently designing our technical foundation to best support the exciting applications we aim to build around this rapidly evolving technology. This is a great opportunity to leverage your past experiences as well as opinions to influence decisions on our tech stack!


  • Strong Communication Skills. Excellent verbal and written communication skills with the ability to take and deliver on constructive feedback. We’re looking for problem solvers and critical thinkers.

Advantage if you have:

  • Experience deploying large machine learning models.
  • Knowledge of parallel computing.

What can you expect when you work with MMVL?

We work hard to succeed. Our team is welcoming, fun, inclusive, inspiring, and committed to mission success. A word of caution—We are not your typical early-stage software company. Expect a rate of change, ambiguity, and unprecedented challenges you’ve never seen before.


This is us:

  • Challenging Work. What we are doing has never been done before. We are on the frontier of a major technology shift and are excited at the opportunity to make an impact.
  • A Friendly and Collaborative Team. We are mission focused with a desire to succeed and will support each other in doing so.
  • Health & Wellbeing Support. Full family health benefits from Day 1.

Experience vs. Credentials:

We want to know what motivates you. We don't believe that everyone follows the same career path. So, if you don't fit the qualifications exactly, talk to us anyway and tell us your story, not just your experience and credentials.


Need Accommodations?

Just let us know. MMVL is committed to providing reasonable accommodations as required and will work with you to meet your needs.




Please Note :
nvalabs.org is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, nvalabs.org provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, Site.com is the ideal place to find your next job.