Staff AI/ML Engineer
RemoteUnited States or Canada
Job Summary
Staff AI/ML Engineer at Burq to build the AI core of the logistics platform, focusing on multi-agent orchestration and forecasting/optimization models to automate operational work in real time. You will design and ship production AI systems, automate manual onboarding/support/exceptions/document understanding, develop models for decisions, design learning loops, and own reliability evaluation with eval harnesses, tracing, observability, and guardrails. The role emphasizes high ownership, collaboration with founders/product/engineering, and mentoring the AI team, with a fully remote setup open to candidates in the United States and Canada (occasional in-person offsites). The position requires hands-on implementation, fast iteration, and strong judgment on when models or simple rules are appropriate, along with experience building robust, production-ready AI/ML systems in complex, high-stakes environments.
Required Qualifications
- We care more about evidence of work than pedigree or years of experience — but most strong candidates will have shipped production AI/ML systems at scale.
- You've shipped production AI/ML, not just prototypes — and dealt with the real tradeoffs of edge cases, quality, latency, cost, and reliability.
- You have real depth on at least one of these, and working fluency across both:
- Generative / agentic AI — multi-agent orchestration, tool/function calling, RAG, structured outputs, and the modern stack (e.g., LangGraph/LangChain, MCP), across providers (Amazon Bedrock, Azure OpenAI, Anthropic, OpenAI).
- Applied ML / decision intelligence — forecasting, optimization, matching/allocation, ranking, or prediction models that drive operational decisions with measurable business impact.
- You design and trust your own evaluation — offline and online, tied to business outcomes, with safe rollout (e.g., shadow mode) and drift monitoring.
- You're deeply hands-on and ship fast — strong in Python, modern API/services (e.g., FastAPI), and sound ML-systems and architecture instincts.
- You've built for operationally complex or high-stakes environments where quality and reliability genuinely matter.
- You communicate clearly, make decisions quickly, and can lead technical work without needing heavy process.
Desired Qualifications
- Background in logistics, supply chain, transportation, marketplaces, mobility, or fulfillment.
- Operations research / optimization, or reinforcement learning / bandits for sequential decision-making.
- Multimodal / document understanding, computer-use, or browser automation.
- Real-time / streaming systems, feature stores, and production MLOps at scale.
- Patents or peer-reviewed publications, or experience as an early/founding engineer.
- Location
- This is a fully remote role, open to candidates based in the United States and Canada, with a few in-person offsites throughout the year.
- How We Work
- We're remote with a few in-person offsites throughout the year. We move quickly, default to writing, and ship early to real customers before rolling things out broadly. AI is part of how we work every day, not a separate initiative — we expect people to experiment with new tools, share what they …
- Benefits
- Investing in you 🙏
- Competitive salary, stock options, and performance-based bonuses
- Fully remote
- Comprehensive medical, vision, and dental insurance
- At Burq, we value diversity. We are an
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