Okta5 days ago
Staff Machine Learning Engineer, Generative AI (Auth0)
RUB 14,000–19,250per month · before tax
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
At market · above 37% of offers
Toronto
Responsibilities
- 01Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production
- 02Lead initiatives to tune, optimize, and deploy agentic applications in production with a focus on performance, reliability, and security
- 03Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases
- 04Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems
- 05Spearhead the design of scalable, observable ML and Generative AI systems that integrate retrieval, inference, and evaluation pipelines
- 06Develop and iterate on structured prompting, context retrieval, and RAG workflows that improve accuracy, safety, and cost efficiency in Claude-based systems
- 07Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production
- 08Implement schema validation, structured output enforcement, and other guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards
- 09Mentor and coach engineers, contributing to the growth of the team and the larger engineering community
Requirements
- 017+ years of software development experience
- 02Strong programming expertise in Python
- 03Familiarity with Go or Typescript a plus
- 04Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models
- 05Hands-on experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.)
- 06Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows
- 07Hands-on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks
- 08Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.)
- 09Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems
- 10Proven ability to collaborate with product and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently
- 11Experience building tools or infrastructure for AI/ML applications, with a deep understanding of the developer lifecycle in an AI-native world
What we offer
- 01Hybrid work model (#LI-HYBRID)
- 02Equity (where applicable), bonus, and benefits
- 03Health, dental, and vision insurance
- 04RRSP with a match
- 05Healthcare spending, telemedicine
- 06Paid leave (including PTO and parental leave)
- 07Immersive, in-person onboarding experience