Toronto

At [OMEGA Labs](https://omega.inc), we are empowering people to take control of their time and focus, using AI as a tool for reducing suffering and amplifying human potential. We're developing OMEGA Focus, an AI-powered productivity assistant that prioritizes your tasks to ensure you're always focused on high-impact activities. We’re also training any-to-any models – fully multimodal models which can understand, reason about, and generate any modality – to serve as the backbone of OMEGA Focus.

Previously, we were the AI brains behind [WOMBO](http://w.ai), where we built gen AI apps that got over 200M downloads and generated over 2 billion pieces of content.

We’re building a world-class team of engineers, designers, and tinkerers to help us quickly iterate and experiment with the best models and frameworks for building AI assistants with memory, agentic abilities, and deep user context.

**Any-to-Any AI Research Engineer - Ω Labs**

***Building the Future of Any-to-Any AI Models***

**About OMEGA Labs**

At OMEGA Labs, we're pushing the boundaries of multimodal AI through our groundbreaking work on any-to-any models. Operating one of the highest-performing subnets on Bittensor (Subnet 21), we're a well-funded, revenue-positive AI lab with significant resources for research and development. Previously, we were the AI brains behind WOMBO (200M+ downloads, 2B+ generated pieces of content), and now we're taking on an even bigger challenge: creating truly universal multimodal models that can understand, reason about, and generate across all modalities.

**The Challenge**

We're developing next-generation any-to-any models that will:

\- Process and generate across text, image, audio, and video modalities

\- Power the future of human-AI interaction through OMEGA Focus

\- Run on decentralized infrastructure via Bittensor

\- Push the boundaries of open-source AI capabilities

**What We're Looking For**

We need exceptional AI researchers who are:

\- Architecture Innovators: Capable of designing and implementing novel multimodal architectures

\- Experimental Pioneers: Thrive on rapid prototyping of new ideas from latest research papers

\- Data Wizards: Experienced with multimodal datasets and training pipelines

\- Open Source Champions: Passionate about contributing to and building on open-source AI

**Technical Requirements**

\- Strong background in:

* Multimodal transformers and fusion techniques

* Speech processing and generation

* Distributed training systems

* PyTorch and modern AI frameworks

\- Experience with:

* Large-scale model training

* Model optimization and quantization

* Real-world deployment of AI systems

**Current Technical Challenges**

\- Implementing early fusion transformer architectures

\- Developing speech2speech capabilities

\- Creating efficient multimodal tokenization methods

\- Building distributed training infrastructure

\- Designing novel evaluation metrics for multimodal models

**Our Culture**

\- Rapid experimentation and iteration

\- Research freedom with real-world impact

\- Focus on shipping and practical results

\- Lean team of exceptional engineers

**Why Join Us**

\- Work on cutting-edge multimodal AI with real applications

\- Access to significant compute resources

\- Early-stage equity in a rapidly growing, revenue-positive AI lab

\- Highly competitive compensation packages

\- Flexible, remote-first environment

\- Opportunity to shape the future of AI

**The Stack**

\- PyTorch

\- Bittensor Network

\- Llama 3, ImageBind

\- Custom multimodal architectures

\- Distributed training infrastructure

**Challenge Question**

Design an architecture that can efficiently:

1\. Process multiple modalities simultaneously

2\. Generate high-quality outputs across modalities

3\. Scale effectively in a distributed setting

Include your thoughts on this with your application!

**Apply**

Send your:

\- Resume

\- GitHub profile/publications

\- Response to the challenge question

\- Brief note about what excites you about any-to-any models

To: careers@omega-labs.ai

Any-to-Any AI Research Engineer

**About OMEGA Labs**

At OMEGA Labs, we are empowering people to take control of their time and focus, using AI as a tool for reducing suffering and amplifying human potential. We're developing OMEGA Focus, an agency-maximizing operating system that prioritizes your tasks to ensure you're always focused on high-impact activities. We're also training any-to-any models – fully multimodal models which can understand, reason about, and generate any modality – to serve as the backbone of OMEGA Focus.

Previously, we were the AI brains behind WOMBO, where we built gen AI apps that got over 200M downloads and generated over 2 billion pieces of content.

We're building a world-class team of engineers, designers, and tinkerers to help us quickly iterate and experiment with the best models and frameworks for building AI assistants with memory, agentic abilities, and deep user context.

**What We're Looking For**

We're seeking AI Engineers who are:

* **Thrifty and Gritty with Literature Review:** Able to quickly dive into experiments described in research papers, spin up scripts to simulate them, and get hands-on with the data.

* **Proactive and Iterative:** Capable of generating numerous ideas and experiments, iterating rapidly, and embracing a fast-paced development cycle.

* **Excellent Prompters:** Good at communicating and eliciting information, which translates into effective prompting for AI. Your interview skills will reflect this ability.

**Ideal Skills**

* **Passion for AGI:** Insatiable curiosity for the latest open-source repos (MemGPT, Crew.AI, Autogen, Mixture of Agents, DSPy, autonomous SWE repos).

* **Python Expertise:** Strong knowledge of Python and experience with AI/ML frameworks like PyTorch.

* **U/X Focus:** Deep care for end-to-end user experience, including latency, customizability, and fault tolerance.

* **Methodical Approach:** Rigorous in thinking and judgment regarding hyperparameters, prompting techniques, and their impact on user outcomes.

* **Documentation Skills:** Excellent at documenting experiments, results, and ensuring reproducibility.

* **Infrastructure Knowledge:** Familiarity with Docker, Kubernetes, and deployments on AWS, GCP, etc.

**Bonus Skills**

* **Running Local Models:** Basic familiarity with running models locally and setting up obscure open-source repos with limited documentation.

**Our Culture**

* We care about our work and strive to deliver magical experiences

  * Any sufficiently advanced technology is indistinguishable from magic

* Lean team of world-class engineers.

* Good products come from lots of experimentation, so we value fast development.

* Competitive compensation.

* Flexible working hours.

* Potential for equity in a fast-growing, mission-driven startup.

* Open to remote with an office in Toronto.

**Apply**

If you're a passionate AI Engineer who wants to be at the forefront of developing magical AI experiences and help shape the future of human-AI interaction, we want to hear from you. To apply, please send your resume, GitHub profile, and a brief introduction highlighting your experience with AI projects to [careers@omega-labs.ai](mailto:careers@omega-labs.ai "mailto:careers@omega-labs.ai"). Please also include links to any relevant open-source contributions or personal AI projects you've worked on.

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