Senior AI Research Engineer

Serve as a customer interface during project meetings.

Ensure timely completion of contract deliverables.

Lead research direction for advanced AI systems

Guide the design of cutting-edge RAG systems

Evaluate LLM-generated responses

Conduct fact-checking on model responses

Connect chemistry experts to AI projects

Improve AI model reasoning in chemistry

Support AI model development with expert mathematics input

Evaluate and refine AI-generated mathematical responses

Collaborate remotely on AI projects

Enhance generative AI with domain expertise

Enhance AI with civil engineering expertise

Generate and evaluate AI prompts

Improve conversational AI systems

Assess model-generated responses

Architect and maintain evaluation suites

Build scalable pipelines for model training

Define AI/ML agents for reliability

Prototype agent behaviours

Develop and maintain Python code for data analysis, model evaluation, and AI workflow automation.

Design and refine prompts for LLMs to optimize conversational performance.

Lead and own the Intelligence Catalog and taxonomy

Drive improvements in noise reduction and precision/recall metrics

Oversee model evaluation across various metrics.

Build and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Develop and maintain benchmarking pipelines.

Lead end-to-end model evaluation processes.

Develop and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Build and maintain benchmarking pipelines.

Lead end-to-end model evaluation.

Build competitive benchmarking pipelines.

Conduct comprehensive model evaluations.

Develop benchmarking pipelines for competitive analysis.

Oversee model evaluation processes.

Build and maintain benchmarking pipelines.

Conduct comprehensive model evaluations across multiple metrics.

Develop and maintain benchmarking pipelines.

Own end-to-end model evaluation.

Build and maintain benchmarking pipelines.

Conduct end-to-end model evaluations.

Build competitive benchmarking pipelines.

Conduct end-to-end model evaluations.

Build and maintain benchmarking pipelines.

Develop multimodal vision-language systems.

Enhance patient perception through video, language, and speech.

Own end-to-end model evaluation.

Build and maintain benchmarking pipelines.

Own the end-to-end model evaluation process.

Build and maintain competitive benchmarking pipelines.

Conduct end-to-end model evaluations across various metrics.

Build and maintain benchmarking pipelines.

Conduct end-to-end model evaluations.

Build competitive benchmarking pipelines.

Set modeling strategy for fraud detection.

Lead ML engineering team.

Design and maintain ML models for business solutions.

Manage the entire model lifecycle including feature engineering and tuning.

Design and enhance ML systems for safety in personalization.

Develop scalable and reusable safety solutions across teams.

Design and run alignment experiments.

Train and evaluate models with empirical methods.

Build security-focused ML models for GenAI traffic.

Own the end-to-end ML lifecycle.

Design realistic evaluation scenarios for AI agents.

Create test cases simulating human tasks.

Design structured test scenarios for AI agents.

Define acceptable behaviors and scoring logic for agents.

Design evaluation scenarios for AI agents.

Create test cases simulating human tasks.

Define and evolve the UX vision for AI experiences.

Lead AI initiatives from concept to launch.

Lead the design and development of ML-driven search systems.

Build end-to-end retrieval pipelines with query understanding.

To find reviewers for AI reasoning datasets.

To ensure accuracy in AI-generated responses.

Design evaluation scenarios for AI agents.

Create test cases simulating human tasks.

Define the role of AI in enhancing agent development and CX.

Lead Ghostwriter from beta to general availability.

Lead design and development of NLU solutions.

Leverage LLMs for text and reasoning tasks.

Design and build LLM-based solutions for adaptive listening.

Create prompt-driven playlist experiences for music fulfillment.

Architect production ML/AI workloads on Databricks.

Serve as a GenAI expert for advanced systems.

Architect ML/AI workloads on Databricks.

Lead Generative AI projects including RAG and agentic systems.

Lead AI & Automation transformation initiatives.

Develop and manage the Operations Excellence team.

Drive adoption of Ubuntu Pro in enterprise settings

Understand and address customer requirements

Lead team towards high-impact solutions, Work collaboratively with scientific teams, Stay updated

cutting-edge tools, Develop novel assays, Efficiently allocate team