Machine Learning Engineer
Job Summary
- Design develop and evaluate LLM agents and agentic frameworks including reinforcement learning and sequential decision-making approaches.
- Research and implement multi-agent architectures to coordinate and deploy AI agents effectively.
- Train fine-tune and optimize machine learning models for production deployment.
- Build and iterate on MVPs and client-facing AI solutions in collaboration with cross-functional teams.
- Conduct applied research on large language models focusing on understanding and addressing model limitations.
- Stay current with advancements in LLMs agentic frameworks and machine learning research.
- Communicate technical concepts clearly to non-technical stakeholders through presentations documentation and client discussions.
- Write clean maintainable production-quality code following best practices for version control and documentation.
- 37 years of experience in machine learning engineering or applied AI research.
- Graduate degree (M.S. or Ph.D.) in Computer Science Machine Learning or a related engineering field.
- Proven ability to translate research concepts into production-ready systems.
- Strong Python proficiency and experience with ML frameworks such as PyTorch TensorFlow LangChain and Pydantic.
- Hands-on experience working with large language models and real-world applications.
- Familiarity with Linux environments Git and software engineering best practices.
- Strong communication skills with the ability to explain complex technical topics to diverse audiences.
- Must be legally eligible to work in Canada.
- Publication record in peer-reviewed conferences or journals related to LLMs agentic frameworks or reinforcement learning.
- Hands-on experience with agent frameworks such as LangGraph Agenta DSPy or CrewAI.
- Knowledge of context engineering techniques and frameworks.
- Experience designing and deploying multi-agent systems.
- Background in HR tech career services or workforce development.
- Demonstrated project ownership and leadership experience.
- Fast-paced mission-driven startup environment with high ownership and autonomy.
- Collaborative transparent culture where everyones voice matters.
- Opportunity to work on cutting-edge AI technologies with meaningful social impact.
- Cross-functional collaboration with Product Engineering and Customer Success teams.
- Strong career progression and mentorship opportunities as our AI team scales.
- 3 weeks paid vacation
- Health insurance & wellness coverage
- Yearly Learning & Development Allowance
- Yearly Workspace Allowance
Required Experience:
IC
Key Skills
About Company
Thrive powers work teams of all sizes across the talent journey, supporting HR leaders at over 500 global enterprises, next-gen growth firms, and the public sector to navigate organizational change and workforce transitions. From facilitating layoffs and redeployments to providing acc ... View more