Senior AI Product Manager
The Senior AI Product Manager at OpusClip is responsible for bridging the gap between complex AI research and seamless user experiences by transforming raw model capabilities and complex workflows into polished products that serve millions of creators. They act as the final filter for aesthetic quality, ensuring every feature meets high standards for rhythm, composition, and visual harmony. They lead rapid prototyping by building functional proofs-of-concept, working directly with APIs and codebase to validate hypotheses before full-scale engineering. Additionally, they identify latent creator needs and competitive gaps to prioritize bold and high-impact product bets over incremental iterations, architecting the future of digital storytelling through multimodal AI.
AI Solution Architect - Montreal
The AI Solution Architect is responsible for driving the adoption and deployment of Mistral’s AI solutions by working closely with customers from strategic vision to production implementation. This includes leading executive-level workshops to identify business challenges and opportunities, co-creating AI adoption roadmaps, collaborating with Account Executives on business cases, architecting end-to-end AI solutions integrating Mistral's models and platform into customer workflows and technical infrastructure, partnering with the Applied AI team to design, prototype, and deploy AI solutions in production, executing pilot projects and proofs-of-value, serving as a trusted advisor to customers to guide their AI strategy and maximize investment value, monitoring KPIs tied to business outcomes and communicating progress to executive sponsors, proactively identifying expansion opportunities within accounts, acting as a bridge between customers and Mistral’s internal teams to influence product and research roadmaps, developing reusable assets, best practices, and playbooks to scale go-to-market efforts, and traveling approximately 30-60% to foster client relationships and support on-site deployment.
Software Engineer, Data & Retrieval
The Software Engineer is responsible for utilizing the Agent Development Kit (ADK) to design, develop, and deploy autonomous agents and "skills" capable of multi-step data retrieval tasks. They design and develop backend systems and APIs to expose bioinformatics data and implement advanced search and retrieval mechanisms to provide LLMs with up-to-date grounded information. Their duties include tuning storage technologies, creating high-performance query plans, designing solutions, and adapting existing approaches to solve issues within web app architecture and interfaces. They operationalize production-grade data pipelines using processing engines like Apache Beam, collaborate with other engineers to address document extraction, enrichment, and retrieval challenges, and model scientific experiments from unstructured data. The engineer also troubleshoots and resolves production issues promptly, ensures code is testable, self-documenting, and reliable, communicates decisions to impacted teams, works on client-facing projects with large pharmaceutical companies, and balances independent work with collaborative efforts for complex architectural changes.
Freelance Electrical Engineer with Python Experience - AI Trainer
Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
Julia MTK Modeling Engineer
Build physics simulators that teach Archie how the real world works by developing first-principles, acausal models of thermofluid and electrical systems to generate large-scale synthetic datasets that power Archie’s reasoning about physical systems. Work on chillers, air handlers, cooling towers, hydronic networks, switchboards, transformers, and distribution systems, sweeping models across thousands of operating conditions, fault modes, and design variants. Ensure the fidelity of simulations directly determines the capabilities of the AI. Collaborate closely with ML engineers to ensure simulation outputs translate into real-world performance.
Software QA Engineer - AI
This role owns the testing and evaluation systems that determine whether Archie is becoming a better engineer. Responsibilities include designing, implementing, and operating evaluation systems that benchmark Archie against real-world engineering skill expectations, ensuring the system is learning the right things, and preventing regressions as it evolves. The role involves working closely with AI researchers, software engineers, domain experts, and industrial partners to translate engineering judgment into scalable, automated evaluation frameworks, shaping how progress toward engineering AGI is measured.
AI Evals Technical Lead
In this role, you will be responsible for implementing the system for organizing, transforming, running, grading, and reporting on eval benchmarks. You will design and execute the process for developing and quality assuring evals, incorporating contributions from the engineering team, industrial partners, and subject-matter experts. You must ensure that evals run effectively within the CI/CD system, continuously benchmarking the evolving AI platform and experiments conducted. Additionally, you will create methods for detecting and testing common quality challenges of AI such as hallucinations, undesirable stochasticity, and regressions. You will also serve as a technical leader in the consistent implementation and organization of automated tests across other areas of the technology stacks. This involves clear definition, implementation, and validation of evals, as well as translating these tests into multiple formats for use with different AI and non-AI systems and agents.
AI Engineer
Design and build scalable, low-latency AI inference microservices for high-volume video processing. Collaborate with the team to build production pipelines for Video Understanding and LLMs, ensuring the model's throughput, cost-efficiency, and integration into the core backend. Ensure all code, whether written or AI-generated, is modular, type-safe, thoroughly tested, and maintainable. Profile and optimize Python/C++ code and model inference layers using methods like quantization, batching, and caching to reduce GPU costs and user wait time. Conduct research on cutting-edge LLMs/multimodal models and rapidly refactor experimental code into stable, production-ready features.
Staff Software Engineer, GPU Infrastructure (HPC)
As a Staff Software Engineer, you will build and scale ML-optimized HPC infrastructure by deploying and managing Kubernetes-based GPU/TPU superclusters across multiple clouds ensuring high throughput and low-latency performance for AI workloads. You will optimize for AI/ML training by collaborating with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, using technologies like RDMA, NCCL, and high-speed interconnects. You will troubleshoot and resolve complex issues by identifying and resolving infrastructure bottlenecks, performance degradation, and system failures to minimize disruption to AI/ML workflows. You will enable researchers with self-service tools by designing intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently. You will drive innovation in ML infrastructure by working closely with AI researchers to understand emerging needs such as JAX, PyTorch, and distributed training and translating them into robust, scalable infrastructure solutions. You will champion best practices by advocating for observability, automation, and infrastructure-as-code (IaC) across the organization to ensure systems are maintainable and resilient. Additionally, you will provide mentorship and collaborate through code reviews, documentation, and cross-team efforts to foster a culture of knowledge transfer and engineering excellence.
Intern of Technical Staff - Sovereign AI
As a Sovereign AI Intern, you will design, train and improve upon cutting-edge models to serve public interest, help develop new techniques to train and serve models safer, better, and faster, train extremely large-scale models on massive datasets, learn from experienced senior machine learning technical staff, and work closely with product teams to develop solutions.
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