loopio - Staff Applied Scientist
Requirements
• ML, NLP & Evaluation • 8+ years applying ML in production. • Strong background in NLP and LLMs. Experience with RAG is expected. • Experience with finetuning LLM and classical ML is expected. • Track record of designing evaluations and using them to decide what ships. • Knowledge Graphs & Agents • 3+ years building knowledge graphs in production, including ontology design, information extraction, and entity resolution. • Experience with graph databases (e.g., Neo4j) and query languages like Cypher. • 3+ years building LLM-based agents in production, including planning, tool use, and orchestration. • Experience making agents reliable through evaluation, guardrails, and human review. • Engineering & Leadership • Strong Python and software engineering skills, with experience shipping ML services to production. • Experience setting technical direction and mentoring senior engineers and data scientists. • Ability to explain technical trade-offs in terms of customer value. • Experience with graph neural networks or knowledge graph embeddings. • Published work or open-source contributions in knowledge graphs, information extraction, or agents. • WHERE YOU’LL WORK 📍 • This is a remote-first opportunity with the advantages of working flexibly across India. • We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇺🇲 US, 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru), and 🇬🇧 London. • Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration. • You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday • We encourage asynchronous collaboration to effectively work as a global #OneTeam!
Responsibilities
• Applied Science • Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge. • Build agents and agentic retrieval systems that find, check, and use that knowledge. • Use feedback from real users to keep knowledge accurate and improve results over time. • Define how we measure quality, and use those measures to decide what ships. • Leadership & Collaboration • Set technical direction and make build vs. buy calls on tools and approaches. • Work with Product, Engineering, and other AI teams to turn research into features customers use. • Mentor engineers and data scientists, and set the standards for how the team runs experiments and ships models.
Benefits
• Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice https://lattice.com/e-lp/talent-products?utm_source=google&utm_medium=paid-search&utm_campaign=NOAM_Google_Search_Brand_Core_Tier_1__OCT-Conv-Test-HR&utm_adgroup=Brand_Core_Tier_1&attribution=lattice-mktg&_bt=645279480236&_bk=lattice&_bm=p&_bn=g&_bg=149106216630&cq_src=google_ads&cq_cmp=19577143427&cq_con=149106216630&cq_term=lattice&cq_med=&cq_plac=&cq_net=g&cq_plt=gp&qgad=645279480236&qgterm=lattice&gad_source=1&gclid=Cj0KCQiA-5a9BhCBARIsACwMkJ4OzbQBp30JTrxoLWSv3ht4C0NBeu9uyrTE7GCIu8D_lqBGuC3CG7kaAiWnEALw_wcB for our 1:1s and performance conversations
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