Evolver
Applied Research Scientist
Toronto, Ontario or Palo Alto, California · Exec
Sponsorship not specifiedDetected 125 days ago
PythonAzureMachine LearningTensorFlowPyTorchNLPComputer VisionLLMsRAGRoboticsResearchLeadershipCommunicationCollaborationMentoring
About the role
- We are looking for an experienced researcher with a passion for Generative AI and hands-on expertise in cloud development.
- Your work will contribute to extending our existing footprint and strategy into new markets and problem spaces opened by Gen AI.
- Proven track record of achieving significant results demonstrated in grants, fellowships, patents and publications in top-tier AI conferences (AAAI, ICLR, Neurips)
Responsibilities
- Mentorship: Guide and support junior researchers and engineers to foster technical growth within the team.
- GenAI Development: Support engineering teams for building a platform for enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
- Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
- Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
- Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
- Guide and support junior researchers and engineers to foster technical growth within the team.
- Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
- As an Applied Research Scientist, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.
- You will work in small teams to own delivery of high-stakes projects with clients, much like a hands-on AI startup CTO.
Requirements
- Education:
- Ph.D. in Computer Science, Engineering, Neuroscience, Robotics, or a related field.
- 5+ years research experience related to next-generation technologies (multi-modal systems, neuro-symbolic AI, agents, reinforcement learning, domain adaptation, and alignment).
- 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.
Skills
- Advanced proficiency in Python and libraries such as PyTorch, Tensorflow, JAX or similar.
- Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
- Familiarity with GenAI frameworks like LangChain, DSPy, or equivalent tools.
- Soft Skills:
- Analytical mindset with a strong focus on problem-solving.
- Comfortable working in a fast-paced, dynamic startup culture.
- Eagerness to learn and contribute to cutting-edge technologies.
- Competitive
- 5+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
Compensation
- Competitive Compensation: Tailored to your experience and skill set.
Benefits
- or computer vision venues (CVPR, ICCV).
- Flexible Work Arrangements: Hybrid working model for work-life balance.
Company info
- We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise.
- Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy.
- Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.
- Work on transformative technologies and make an impact in the AI space.
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This listing is sourced directly from Evolver's careers page and normalized into a canonical job model.