Staff Applied Scientist

This is a fully remote position, open to applicants in India.

📋 Description

• Create and develop knowledge graphs that convert unstructured information into structured, dependable knowledge.

• Construct agents and retrieval systems that can locate, verify, and utilize knowledge.

• Leverage real-user feedback to sustain the accuracy of knowledge and enhance outcomes.

• Establish quality metrics and apply them to determine what is released.

• Set the technical direction and make decisions regarding building versus buying solutions.

• Collaborate with Product, Engineering, and AI teams to transform research into features that benefit customers.

• Guide and mentor engineers and data scientists.

• Define standards for experiments and model delivery.

• Work closely with teams located in Canada, the UK, and India.

• Maintain working hours from 11:00 am to 7:30 pm IST to facilitate overlapping global collaboration.

⛳️ Requirements

• Over 8 years of experience applying machine learning in production environments.

• Strong expertise in natural language processing and large language models.

• Expected experience with retrieval-augmented generation (RAG).

• Proven experience in fine-tuning large language models and classical machine learning techniques.

• A solid track record of designing evaluations and utilizing them to determine product releases.

• More than 3 years of experience in building knowledge graphs in a production setting.

• Proficient in ontology design, information extraction, and entity resolution.

• Experience with graph databases like Neo4j and familiarity with query languages such as Cypher.

• At least 3 years of experience in developing large language model-based agents in production.

• Familiarity with planning, tool utilization, and orchestration.

• Experience in enhancing agent reliability through evaluations, safeguards, and human reviews.

• Strong programming skills in Python and software engineering practices.

• Experience in deploying machine learning services to production.

• Proven ability to establish technical direction and mentor senior engineers and data scientists.

• Capability to articulate technical trade-offs in terms of customer value.

• Preferred experience with graph neural networks or knowledge graph embeddings.

• Published research or contributions to open-source projects in knowledge graphs, information extraction, or agent systems are preferred.

• Candidates must be based in India.

• Must possess legal authorization to work in India without employer sponsorship.

🏝️ Benefits

• Professional development allowance for learning and growth opportunities.

• MacBook laptop provided for work purposes.

• Monthly subsidy for phone and internet expenses.

• Budget for setting up a home office while working from home.

• Access to a Claude account.

• Flexible remote-first work environment.

• Participation in town halls, AMA sessions, and company celebrations.

• Involvement in Employee Resource Groups.

• Supportive remote-first company culture.

• Continuous feedback and regular one-on-one meetings.

• Recognized as an award-winning workplace with opportunities to make a significant impact.