Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.
We are looking for an AI Specialist Engineer to enhance the performance of large language and vision models for on-device inference. Your expertise will be crucial in developing and deploying cutting-edge AI solutions, ensuring optimal efficiency across diverse hardware architectures.
Responsibilities:
- Compress and optimize large language and vision models for on-device inference.
- Develop pipelines for model distillation and hardware-specific compilation.
- Benchmark performance across various NPU/GPU architectures.
Qualifications:
- Expertise in model distillation, pruning, and 4-bit/8-bit quantization techniques.
- Hands-on experience with TensorRT, ONNX Runtime, and edge deployment.
- Strong C++ and Python skills.
Similar Jobs
Agency • Artificial Intelligence • Blockchain • Web3
Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.
Top Skills:
Adversarial MlGuardrailsJailbreak TaxonomiesLlmsMultimodal AgentsPrompt EngineeringReal-Time FilteringRed-Teaming FrameworksRlhf
Gaming
Designs and implements live-ops events and content for a mobile game, including balancing systems, analyzing player feedback and metrics, improving design tools, and collaborating across disciplines. Creates new event types, prototypes features, writes design documentation and user stories, leads brainstorming, and advocates for player-focused design. The role requires strong game systems, content, narrative, math, balancing, pacing, and mobile gaming expertise.
Top Skills:
Unity
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and own foundational Android platform infrastructure, including architecture, shared libraries, tooling, observability, performance systems, and developer experience. Lead cross-organizational technical initiatives, establish Android engineering standards, evaluate AI-assisted development tools, and build AI-powered platform capabilities. Collaborate across mobile, web, backend, product, and design teams while mentoring engineers and driving large-scale organizational impact.
Top Skills:
AndroidArtifactoryBuildkiteCi/CdClaude CodeCodexGooseGradleJetpack ComposeKochikuKotlinKotlin MultiplatformMoleculePaparazziSqldelightStructured ConcurrencyWireWorkmanager
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
