T
$90,000 – $160,000 / year
AWSPython
Job Description
- Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration.
- Identify opportunities to leverage small language via fine-tuning/distillation.
- Build ML systems that hold up at Twilio scale.
- Set standards and tooling for building evals across a range of AI/ML capabilities.
- Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
- Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
- 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
- Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
- Proficiency in Python programming language.
- Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
- Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
- Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.
- Strong communication skills and highly effective collaborator who works well with teammates.
- Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.).
- Prior experience building evals for autonomous agents and large language models.
- Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
- Prior experience working in a globally distributed team.
- Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research.
- $160,320 - $200,400
- Target Bonus Percentage 12.5%
This is a 100% remote position. Applicants may be located in Canada.
Job Details & Requirements
- Occupation
- Software Engineer
- Openings
- 1
- Open to applicants
- Canada