Develop computer vision pipelines and deep learning models for extracting intelligence from aerial and oblique imagery. Responsibilities include improving segmentation and detection models, running large-scale experiments, maintaining modular machine learning infrastructure, optimizing model deployment and inference, and reproducing research from leading computer vision conferences. The role requires collaboration with an applied AI lab and experience with generative modeling, foundation models, and real-world data at scale.
ABOUT MOBSQUAD
We are a well-funded, hyper-growth, company looking for an experienced Computer Vision Engineer. If you’ve ever dreamed of working with a top tier technology company backed by the very best venture capitalists in the world, then this is your chance.
Some details about MobSquad:
- MobSquad provides top-tier technical and consulting services to clients across North America. MobSquad works with leading clients across many industries such as fintech, health tech, and cyber security, and employs the world's best technology professionals including software engineers, data scientists, machine learning and AI engineers, and cyber security experts.
- We are a Certified B corporation, and have made numerous contributions to charitable organizations, as well as a financial commitment to the Upside Foundation. We believe we are playing a key role in enhancing Canada’s innovation economy, and have received support from the Government of Canada, Province of Alberta, Province of Nova Scotia, and City of Calgary, to support this ambition.
- For our workplace culture, we were recognized as the 14th best place to work in Canada (for a small company) in 2024, and have been awarded specifically for being one of the best workplaces nationally for: inclusion; mental wellness; giving back; youth; and technology. We were also recognized as one of Canada's Best Start-Up Employers by Forbes.
- For our innovative business model, we have been featured in numerous media outlets including: The New York Times; The Washington Post; The Wall Street Journal; The Economist; NPR; Bloomberg; The Financial Times; Harvard Business Review; Asian Pacific Post; BetaKit; CBC; Global News; Gothamist; International Business Times; MIT Technology Review; Nikkei Asian Review; The Economic Times of India; The Globe and Mail; and The Information.
- You can learn more about us on our website.
ABOUT THE ROLE
As a Computer Vision Engineer, you will be part of our Canada-based team providing technical services to MobSquad's clients. Your team will operate alongside many other talented developers and data scientists in Canada, and you will be an integral part of the tech community that MobSquad has built.
You will support an applied AI lab changing the way the world sees the world. The flagship foundation computer vision model measures and understands the world in 4D, redefining how industries interact with the physical world through Artificial Spatial Intelligence. You will also work on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of computer vision pipelines for extracting comprehensive intelligence from optical imagery.
YOU WILL
- Build the components of a state-of-the-art computer vision pipeline for an AI system
- Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
- Run experiments at scale with deep learning frameworks
- Develop and maintain clean, modular ML infrastructure
- Collaborate on model deployment and inference optimizations
- Read and reproduce ideas from latest papers (CVPR, NeurIPS, and other similar top-tier venues)
ABOUT YOU
- You have an advanced degree (M.S. or PhD) in Computer Science, Engineering, Mathematics, Physics, or a comparable analytical field from an accredited institution
- You have over five years of experience working with deep learning frameworks (TensorFlow, Keras)
- You have over five years of experience with relevant languages (Python, Java) and libraries (scikit-learn, Pandas)
- You have trained segmentation/detection models on real-world data at scale
- You have experience with generative modeling and large foundation models
- You have worked in start-ups and can wear many hats
WHAT YOU'LL GET @MOBSQUAD
- A full-time position that offers competitive compensation
- A benefits program delivered through our bespoke digital platform, giving you control, choice, and flexibility. We give you the ability to build your package of benefits covering health (e.g., medical, dental, vision), wellness (e.g., gym, workout gear, massage, transit), and RRSP (retirement savings)
- A downtown office location with first-rate amenities, surrounded by great restaurants and easily-accessible transit
- For international candidates, sponsorship for an expedited work permit, expedited permanent residency, and Canadian citizenship within four years
At MobSquad, we support and encourage building a work environment that is diverse, inclusive, and safe for all. We invite and welcome applicants of all backgrounds, regardless of race, religion, sexual orientation, gender identity, national origin, or disability.
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Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
