Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance.
Research and benchmark AI applications, tools, and industry practices.
Provide expert advice on practical AI applications across the Software Development Lifecycle.
XM is a global financial services and trading company. With engineering teams across multiple locations, the company focuses on software development and quality assurance in a fast-paced environment.
Design, build, and test new ways for researchers to write down, link, and share questions, claims, and evidence.
Prototype early versions of tools for research workflows, including coding agents, manuscript overlays, and knowledge bases.
Collaborate closely with a designer and product manager, carrying promising ideas from prototype to maintainable software.
Astera Institute is a philanthropically funded nonprofit that builds open-source tools for collaborative science, including the Discourse Graphs project for research teams. The small, distributed team works across North America, Europe, and India with a flat culture where engineers pull their own work from a shared queue.
Design, build and ship AI-native applications and experiences for real-world use cases.
Build applications using large language models, generative AI APIs and agentic architectures.
Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
Valtech transforms how people experience the world through technology, combining technology, creativity, and experience to solve meaningful business challenges. The company fosters a culture of continuous learning, meaningful impact, and professional growth, with a borderless global framework enabling seamless collaboration.
Design, build, and deploy production-ready AI and LLM-powered applications for nonprofit organizations.
Develop evaluation methods, contribute to open-source tools, and collaborate with field teams.
Take technical ownership across the ML lifecycle and translate research into scalable products.
A mission-driven engineering team developing practical AI systems for healthcare, agriculture, education, and international development. The company values autonomy, collaboration, and technical excellence, working as a small, interdisciplinary team.
Define technical vision for agentic AI systems processing global trade data.
Lead development of production-grade ML pipelines from ingestion to inference.
Mentor engineers and collaborate cross-functionally to drive measurable impact.
This role is with a partner company of Jobgether building AI systems that transform global trade data into actionable intelligence for risk management and compliance. They offer a remote-friendly culture with flexible time off, comprehensive benefits, and opportunities for technical leadership.
Design, run, and analyse large-scale RL post-training experiments such as RLHF and RL from verifiable rewards.
Research and develop methods that improve out-of-distribution generalization, including reward design, task diversity, and regularization.
Build held-out evaluations to measure generalization and catch reward hacking, and turn successful research into production training recipes.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation models and end-to-end products for businesses. We are a global team of researchers, engineers, and designers passionate about their craft, headquartered in Toronto with offices worldwide.
Design and implement AI-powered solutions for healthcare operations, including benefits verification, prior authorizations, and claims processing.
Build and maintain web and mobile applications, backend services, and infrastructure across the full technology stack.
Own product features end to end, collaborating with clinicians and stakeholders from concept to production.
This partner company develops AI-powered software to transform healthcare practice management and clinical operations. They operate a flat, cross-functional engineering team that embraces AI-assisted development and individual ownership.
Develop and improve AI methods, algorithms, and systems across the lifecycle of reliable agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Turn research ideas into working systems, prototypes, and production-facing capabilities.
The company is a research-focused team developing methods and systems to make AI agents more reliable in production. It operates as a small team with a culture of original research, experimentation, and close collaboration with product and engineering.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.